clean up and update grossOffsets
Minyan Zhong
parent
f44a0edf1d
commit
c399d3fa03
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#!/usr/bin/env python3
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# Generate pixel offsets based on Antarctica velocity model (MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 2 doi:https://doi.org/10.5067/D7GK8F5J8M8R)
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# Author: Minyan Zhong
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import os
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import argparse
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import isce
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import isceobj
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import gdal
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import pyproj
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import numpy as np
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import matplotlib.pyplot as plt
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EXAMPLE = '''
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grossOffsets.py --model_file antarctica_ice_velocity_450m_v2.nc --lon lon.rdr --lat lat.rdr --los los.rdr --los_scheme bil --ww 64 --wh 64 --sw 10 --sh 10 --mm 50 --kw 32 --kh 32 --startpixeldw 50 --startpixelac 50 --rangePixelSize 0.930 --azimuthPixelSize 2.286 --interval 1
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'''
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def createParser():
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'''
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Command line parser.
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'''
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parser = argparse.ArgumentParser(description='Generate pixel offsets (integer pixel) based on Antarctica ice velocity model (MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 2 doi:https://doi.org/10.5067/D7GK8F5J8M8R)', formatter_class=argparse.RawTextHelpFormatter, epilog=EXAMPLE)
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# path to antarctica velocity model
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parser.add_argument('--model_file', type=str, dest='model_file', required=True)
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# lat, lon, los
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parser.add_argument('--lat', type=str, dest='lat', required=True,
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help='latitude file')
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parser.add_argument('--lon', type=str, dest='lon', required=True,
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help='longitude fie')
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parser.add_argument('--los', type=str, dest='los', required=True,
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help='two bands raster data in float. band1: incidence angle; bands: satellite flight direction (ISCE2 convention)')
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parser.add_argument('--los_scheme', type=str, dest='los_scheme', required=True,
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help='interleave scheme of los (bil, bsq or bip)')
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# window size settings
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parser.add_argument('--ww', type=int, dest='winwidth', default=64,
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help='Window width (default: %(default)s).')
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parser.add_argument('--wh', type=int, dest='winhgt', default=64,
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help='Window height (default: %(default)s).')
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parser.add_argument('--sw', type=int, dest='srcwidth', default=20,
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help='Half search range along width, (default: %(default)s, recommend: 4-32).')
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parser.add_argument('--sh', type=int, dest='srchgt', default=20,
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help='Half search range along height (default: %(default)s, recommend: 4-32).')
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parser.add_argument('--kw', type=int, dest='skipwidth', default=64,
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help='Skip across (default: %(default)s).')
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parser.add_argument('--kh', type=int, dest='skiphgt', default=64,
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help='Skip down (default: %(default)s).')
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# determine the number of windows
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# either specify the starting pixel and the number of windows,
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# or by setting them to -1, let the script to compute these parameters
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parser.add_argument('--mm', type=int, dest='margin', default=0,
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help='Margin (default: %(default)s).')
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parser.add_argument('--spa','--startpixelac', dest='startpixelac', type=int, default=-1, help='Starting Pixel across of the reference image(default: %(default)s to be determined by margin and search range).')
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parser.add_argument('--spd','--startpixeldw', dest='startpixeldw', type=int, default=-1, help='Starting Pixel down of the reference image (default: %(default)s).')
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parser.add_argument('--aps', '--azimuthPixelSize', dest='azimuthPixelSize', type=float, required=True, help='azimuth pixel size')
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parser.add_argument('--rps', '--rangePixelSize', dest='rangePixelSize', type=float, required=True, help='range pixel size')
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parser.add_argument('--interval', dest='interval', type=float, required=True, help='interval between reference and secondary scene (unit: day)')
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parser.add_argument('--outdir', dest='outdir', type=str, default='.', help='output directory')
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parser.add_argument('--outname', dest='outname', type=str, default='grossOffsets.bin', help='output name of gross pixel offsets (integer)')
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return parser
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def cmdLineParse(iargs = None):
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parser = createParser()
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inps = parser.parse_args(args=iargs)
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return inps
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class grossOffsets:
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def __init__(self, inps):
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model_path = inps.model_file
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self.model_file = model_path
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self.latfile = inps.lat
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self.lonfile = inps.lon
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self.losfile = inps.los
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ds = gdal.Open(self.losfile)
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self.XSize = ds.RasterXSize
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self.YSize = ds.RasterYSize
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ds = None
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self.los_scheme = inps.los_scheme.lower()
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assert(self.los_scheme in ['bil','bsq', 'bip']), print('interleave scheme of los')
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self.margin = inps.margin
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self.winSizeHgt = inps.winhgt
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self.winSizeWidth = inps.winwidth
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self.searchSizeHgt = inps.srchgt
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self.searchSizeWidth = inps.srcwidth
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self.skipSizeHgt = inps.skiphgt
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self.skipSizeWidth = inps.skipwidth
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self.startpixelac = inps.startpixelac if inps.startpixelac != -1 else self.margin + self.searchSizeWidth
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self.startpixeldw = inps.startpixeldw if inps.startpixeldw != -1 else self.margin + self.searchSizeHgt
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self.azPixelSize = inps.azimuthPixelSize
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self.rngPixelSize = inps.rangePixelSize
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self.interval = inps.interval
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self.outdir = inps.outdir
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self.outname = inps.outname
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self.get_veloData()
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self.vProj = pyproj.Proj('+init=EPSG:3031')
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def get_veloData(self):
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assert os.path.exists(self.model_file), print("Please download MEaSUREs InSAR-Based Antarctica Ice Velocity Map, Version 2 at https://nsidc.org/data/NSIDC-0484/versions")
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data_read = 0
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ds = gdal.Open("NETCDF:{0}:{1}".format(self.model_file, 'VX'))
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self.vx = ds.ReadAsArray()
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ds = gdal.Open("NETCDF:{0}:{1}".format(self.model_file, 'VY'))
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self.vy = ds.ReadAsArray()
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self.vx = np.flipud(self.vx)
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self.vy = np.flipud(self.vy)
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self.v = np.sqrt(np.multiply(self.vx,self.vx)+np.multiply(self.vy,self.vy))
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self.model_spacing = 450
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self.x0 = np.arange(-2800000,2800000,step=450)
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self.y0 = np.arange(-2800000,2800000,step=450)+200
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def runGrossOffsets(self):
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## Step 0: Set up projection transformers for ease of use
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self.llhProj = pyproj.Proj('+init=EPSG:4326')
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self.xyzProj = pyproj.Proj('+init=EPSG:4978')
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# From xy to lat lon.
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refPt = self.vProj(0.0, 0.0, inverse=True)
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### Step 2: Cut the data
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print('Extract the data to this radar scene...')
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# The following code is to be consistent with "get_offset_geometry" in dense_offset.py
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numWinDown = (self.YSize - self.margin*2 - self.searchSizeHgt*2 - self.winSizeHgt) // self.skipSizeHgt
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numWinAcross = (self.XSize - self.margin*2 - self.searchSizeWidth*2 - self.winSizeWidth) // self.skipSizeWidth
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lat = np.zeros(shape=(numWinDown,numWinAcross),dtype=np.float64)
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lon = np.zeros(shape=(numWinDown,numWinAcross),dtype=np.float64)
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inc = np.zeros(shape=(numWinDown,numWinAcross),dtype=np.float32)
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azi = np.zeros(shape=(numWinDown,numWinAcross),dtype=np.float32)
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self.centerOffsetHgt = self.winSizeHgt//2-1
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self.centerOffsetWidth = self.winSizeWidth//2-1
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print("Number of winows in down direction, Number of window in across direction: ")
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print(numWinDown, numWinAcross)
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cut_vx = np.zeros(shape=(numWinDown,numWinAcross))
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cut_vy = np.zeros(shape=(numWinDown,numWinAcross))
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cut_v = np.zeros(shape=(numWinDown,numWinAcross))
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pixel = np.zeros(shape=(numWinDown,numWinAcross))
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line = np.zeros(shape=(numWinDown,numWinAcross))
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for iwin in range(numWinDown):
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# Need to calculate lat lon in the interior mode.
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print('Processing line: ',iwin, 'out of', numWinDown)
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down = self.margin + self.skipSizeHgt * iwin + self.centerOffsetHgt
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off = down*self.XSize
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across_indices = self.margin + np.arange(numWinAcross)*self.skipSizeWidth + self.centerOffsetWidth
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# latitude
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latline = np.memmap(filename=self.latfile,dtype='float64',offset=8*off,shape=(self.XSize))
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# longitude
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lonline = np.memmap(filename=self.lonfile,dtype='float64',offset=8*off,shape=(self.XSize))
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# incidence angle and satellite flight direction
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# bil
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if self.los_scheme == "bil":
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off2 = down * self.XSize * 2
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losline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off2,shape=(self.XSize*2))
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incline = losline[0:self.XSize]
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aziline = losline[self.XSize:self.XSize*2]
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# bsq
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elif self.los_scheme == 'bsq':
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off2 = self.YSize * self.XSize + down * self.XSize
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incline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off,shape=(self.XSize))
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aziline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off2,shape=(self.XSize))
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# bip
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else:
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off2 = down * self.XSize * 2
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losline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off2,shape=(self.XSize*2))
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incline = losline[0:self.XSize*2:2]
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aziline = losline[1:self.XSize*2:2]
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# Subset the line
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lat[iwin,:] = latline[across_indices]
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lon[iwin,:] = lonline[across_indices]
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inc[iwin,:] = incline[across_indices]
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azi[iwin,:] = aziline[across_indices]
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#print(iwin,'lat: ',lat[iwin,:])
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#print(iwin,'lon: ',lon[iwin,:])
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#print(iwin,'inc: ',inc[iwin,:])
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#print(iwin,'azi: ',azi[iwin,:])
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#### Look up in MEaSUREs InSAR-Based Antarctica Ice Velocity Map
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# Convert lat lon to grid coordinates in polar stereographic projection.
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xyMap = pyproj.transform(self.llhProj, self.vProj, lon[iwin,:], lat[iwin,:])
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# Extract the values in the velocity model.
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model_spacing = self.model_spacing
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pixel[iwin,:] = np.clip((xyMap[0]-self.x0[0])/model_spacing, 0, self.vx.shape[1]-1)
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line[iwin,:] = np.clip((xyMap[1]-self.y0[0])/model_spacing, 0, self.vx.shape[0]-1)
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pixel_int = pixel[iwin,:].astype(int)
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line_int = line[iwin,:].astype(int)
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cut_vx[iwin,:] = self.vx[line_int,pixel_int]
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cut_vy[iwin,:] = self.vy[line_int,pixel_int]
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cut_v = np.sqrt(np.multiply(cut_vx,cut_vx),np.multiply(cut_vy,cut_vy))
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valid = np.logical_and(inc!=0, cut_v!=0)
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### Mask out invalid values ###
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# 1. Mask out invalid values at margin.
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cut_vx[inc==0] = np.nan
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cut_vy[inc==0] = np.nan
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# Get Interpolated speed.
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cut_v = np.sqrt(np.multiply(cut_vx,cut_vx),np.multiply(cut_vy,cut_vy))
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print("The speed matrix")
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print(cut_v)
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print("The shape of speed matrix")
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print(cut_v.shape)
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### Step 3: Convert XY velocity to EN velocity (clockwise rotation)
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print('Coverting XY to EN...')
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lonr = np.radians(lon - refPt[0])
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cut_ve = np.multiply(cut_vx, np.cos(lonr)) - np.multiply(cut_vy, np.sin(lonr))
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cut_vn = np.multiply(cut_vy, np.cos(lonr)) + np.multiply(cut_vx, np.sin(lonr))
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print('Polar stereographic velocity: ', [cut_vx, cut_vy])
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print('Local ENU velocity: ', [cut_ve, cut_vn])
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####Step 4: Convert EN velocity to rng and azimuth
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#Local los and azi vector in ENU coordinate
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print(' Coverting EN to rdr...')
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incr = np.radians(inc)
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azir = np.radians(azi)
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losr = np.radians(azi-90.0)
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losenu=[ np.multiply(np.sin(incr),np.cos(losr)),
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np.multiply(np.sin(incr),np.sin(losr)),
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-np.cos(incr) ]
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azienu=[ np.cos(azir),
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np.sin(azir),
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0.0 ]
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# unit: pixel per day
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grossRangeOffset = (self.interval/365.25) * (cut_ve * losenu[0] + cut_vn * losenu[1])/ self.rngPixelSize
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grossAzimuthOffset = (self.interval/365.25) * (cut_ve * azienu[0] + cut_vn * azienu[1]) / self.azPixelSize
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# Mask out invalid values at margin.
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grossRangeOffset[inc==0] = np.nan
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grossAzimuthOffset[inc==0] = np.nan
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print('Gross azimuth offset: ', grossAzimuthOffset)
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print('Gross range offset: ', grossRangeOffset)
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print('Shape of gross offsets: ', grossRangeOffset.shape)
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### Show FLOAT results ###
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fig=plt.figure(21,figsize=(9,9))
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ax = fig.add_subplot(121)
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ax.set_title('gross azimuth offset',fontsize=15)
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cax = ax.imshow(grossAzimuthOffset,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,shrink=0.8)
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cbar.set_label("pixel",fontsize=15)
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ax = fig.add_subplot(122)
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ax.set_title('gross range offset',fontsize=15)
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cax = ax.imshow(grossRangeOffset,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,shrink=0.8)
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cbar.set_label("pixel",fontsize=15)
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figname = os.path.join(self.outdir,'pixel_offsets.png')
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fig.savefig(figname,format='png')
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plt.close()
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# Save grossRangeOffset and grossAzimuthOffset as ISCE supported images.
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# Range
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rangeFileName = os.path.join(self.outdir, 'grossRange.off')
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driver = gdal.GetDriverByName('ENVI')
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dst_ds = driver.Create(rangeFileName, xsize=grossRangeOffset.shape[1], ysize=grossRangeOffset.shape[0], bands=1, eType=gdal.GDT_Float32)
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dst_ds.GetRasterBand(1).WriteArray(grossRangeOffset,0,0)
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dst_ds = None
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outImage = isceobj.createImage()
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outImage.setDataType('FLOAT')
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outImage.setFilename(rangeFileName)
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outImage.setBands(1)
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outImage.scheme='BIL'
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outImage.setLength(grossRangeOffset.shape[0])
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outImage.setWidth(grossRangeOffset.shape[1])
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outImage.setAccessMode('read')
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outImage.renderHdr()
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# Azimuth
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azimuthFileName = os.path.join(self.outdir, 'grossAzimuth.off')
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driver = gdal.GetDriverByName('ENVI')
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dst_ds = driver.Create(azimuthFileName, xsize=grossAzimuthOffset.shape[1], ysize=grossAzimuthOffset.shape[0], bands=1, eType=gdal.GDT_Float32)
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dst_ds.GetRasterBand(1).WriteArray(grossAzimuthOffset,0,0)
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dst_ds = None
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outImage = isceobj.createImage()
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outImage.setDataType('FLOAT')
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outImage.setFilename(azimuthFileName)
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outImage.setBands(1)
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outImage.scheme='BIL'
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outImage.setLength(grossAzimuthOffset.shape[0])
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outImage.setWidth(grossAzimuthOffset.shape[1])
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outImage.setAccessMode('read')
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outImage.renderHdr()
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### Round to integer ###
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grossAzimuthOffset_int = np.rint(grossAzimuthOffset).astype(np.int32)
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grossRangeOffset_int = np.rint(grossRangeOffset).astype(np.int32)
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### Show Integer results ###
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fig=plt.figure(22,figsize=(9,9))
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ax = fig.add_subplot(121)
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ax.set_title('gross azimuth offset (int)',fontsize=15)
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cax = ax.imshow(grossAzimuthOffset_int,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,shrink=0.8)
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cbar.set_label("pixel",fontsize=15)
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ax = fig.add_subplot(122)
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ax.set_title('gross range offset (int)',fontsize=15)
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cax = ax.imshow(grossRangeOffset_int,cmap=plt.cm.coolwarm)
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cbar = fig.colorbar(cax,shrink=0.8)
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cbar.set_label("pixel",fontsize=15)
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figname = os.path.join(self.outdir,'pixel_offsets_int.png')
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fig.savefig(figname,format='png')
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plt.close()
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# Save grossRangeOffset and grossAzimuthOffset as ISCE supported images.
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# Range
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rangeFileName = os.path.join(self.outdir, 'grossRange_int.off')
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driver = gdal.GetDriverByName('ENVI')
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dst_ds = driver.Create(rangeFileName, xsize=grossRangeOffset.shape[1], ysize=grossRangeOffset.shape[0], bands=1, eType=gdal.GDT_Int32)
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dst_ds.GetRasterBand(1).WriteArray(grossRangeOffset_int,0,0)
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dst_ds = None
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outImage = isceobj.createImage()
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outImage.setDataType('INT')
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outImage.setFilename(rangeFileName)
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outImage.setBands(1)
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outImage.scheme='BIL'
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outImage.setLength(grossRangeOffset.shape[0])
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outImage.setWidth(grossRangeOffset.shape[1])
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outImage.setAccessMode('read')
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outImage.renderHdr()
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# Azimuth
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azimuthFileName = os.path.join(self.outdir, 'grossAzimuth_int.off')
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driver = gdal.GetDriverByName('ENVI')
|
||||
dst_ds = driver.Create(azimuthFileName, xsize=grossAzimuthOffset.shape[1], ysize=grossAzimuthOffset.shape[0], bands=1, eType=gdal.GDT_Int32)
|
||||
dst_ds.GetRasterBand(1).WriteArray(grossAzimuthOffset_int,0,0)
|
||||
dst_ds = None
|
||||
|
||||
outImage = isceobj.createImage()
|
||||
outImage.setDataType('INT')
|
||||
outImage.setFilename(azimuthFileName)
|
||||
outImage.setBands(1)
|
||||
outImage.scheme='BIL'
|
||||
outImage.setLength(grossAzimuthOffset.shape[0])
|
||||
outImage.setWidth(grossAzimuthOffset.shape[1])
|
||||
outImage.setAccessMode('read')
|
||||
outImage.renderHdr()
|
||||
|
||||
# Round to integer and write to raw binary file
|
||||
numTotal = numWinDown * numWinAcross
|
||||
grossOffsets_int = np.hstack((grossAzimuthOffset_int.reshape(numTotal,1), grossRangeOffset_int.reshape(numTotal,1)))
|
||||
print("grossOffsets: \n", grossOffsets_int, grossOffsets_int.dtype)
|
||||
grossOffsets_int.tofile(os.path.join(self.outdir, self.outname))
|
||||
|
||||
return 0
|
||||
|
||||
def main(iargs=None):
|
||||
inps = cmdLineParse(iargs)
|
||||
grossObj = grossOffsets(inps)
|
||||
grossObj.runGrossOffsets()
|
||||
|
||||
if __name__=='__main__':
|
||||
main()
|
||||
|
|
@ -1,312 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
|
||||
# author: Minyan Zhong
|
||||
|
||||
import numpy as np
|
||||
import argparse
|
||||
import os
|
||||
import isce
|
||||
import isceobj
|
||||
import shelve
|
||||
import datetime
|
||||
from isceobj.Location.Offset import OffsetField
|
||||
from iscesys.StdOEL.StdOELPy import create_writer
|
||||
#from mroipac.ampcor.DenseAmpcor import DenseAmpcor
|
||||
|
||||
from contrib.PyCuAmpcor import PyCuAmpcor
|
||||
from grossOffsets import grossOffsets
|
||||
|
||||
#from isceobj.Utils.denseoffsets import denseoffsets
|
||||
from isceobj.Util.decorators import use_api
|
||||
|
||||
from pprint import pprint
|
||||
|
||||
def createParser():
|
||||
'''
|
||||
Command line parser.
|
||||
'''
|
||||
|
||||
parser = argparse.ArgumentParser( description='Generate offset field between two Sentinel slc')
|
||||
parser.add_argument('-m','--reference', type=str, dest='reference', required=True,
|
||||
help='Reference image')
|
||||
parser.add_argument('-s', '--secondary',type=str, dest='secondary', required=True,
|
||||
help='Secondary image')
|
||||
parser.add_argument('-l', '--lat',type=str, dest='lat', required=False,
|
||||
help='Latitude')
|
||||
parser.add_argument('-L', '--lon',type=str, dest='lon', required=False,
|
||||
help='Longitude')
|
||||
parser.add_argument('--los',type=str, dest='los', required=False,
|
||||
help='Line of Sight')
|
||||
parser.add_argument('--referencexml',type=str, dest='referencexml', required=False,
|
||||
help='Reference Image Xml File')
|
||||
parser.add_argument('--ww', type=int, dest='winwidth', default=64,
|
||||
help='Window Width')
|
||||
parser.add_argument('--wh', type=int, dest='winhgt', default=64,
|
||||
help='Window height')
|
||||
parser.add_argument('--sw', type=int, dest='srcwidth', default=20,
|
||||
help='Search window width')
|
||||
parser.add_argument('--sh', type=int, dest='srchgt', default=20,
|
||||
help='Search window height')
|
||||
parser.add_argument('--mm', type=int, dest='margin', default=50,
|
||||
help='Margin')
|
||||
parser.add_argument('--kw', type=int, dest='skipwidth', default=64,
|
||||
help='Skip across')
|
||||
parser.add_argument('--kh', type=int, dest='skiphgt', default=64,
|
||||
help='Skip down')
|
||||
|
||||
parser.add_argument('--nwa', type=int, dest='numWinAcross', default=-1,
|
||||
help='Number of Window Across')
|
||||
parser.add_argument('--nwd', type=int, dest='numWinDown', default=-1,
|
||||
help='Number of Window Down')
|
||||
|
||||
parser.add_argument('-op','--outprefix', type=str, dest='outprefix', default='dense_ampcor',
|
||||
help='Output prefix')
|
||||
|
||||
parser.add_argument('-os','--outsuffix', type=str, dest='outsuffix', default='dense_ampcor',
|
||||
help='Output suffix')
|
||||
|
||||
parser.add_argument('-g','--gross', type=int, dest='gross', default=0,
|
||||
help='Use gross offset or not')
|
||||
|
||||
parser.add_argument('--aa', type=int, dest='azshift', default=0,
|
||||
help='Gross azimuth offset')
|
||||
|
||||
parser.add_argument('--rr', type=int, dest='rgshift', default=0,
|
||||
help='Gross range offset')
|
||||
|
||||
parser.add_argument('--oo', type=int, dest='oversample', default=32,
|
||||
help = 'Oversampling factor')
|
||||
|
||||
parser.add_argument('-r', '--redo', dest='redo', type=int, default=0
|
||||
, help='To redo or not')
|
||||
|
||||
parser.add_argument('-drmp', '--deramp', dest='deramp', type=int, default=0
|
||||
, help='deramp method (0: mag, 1: complex)')
|
||||
|
||||
parser.add_argument('-gid', '--gpuid', dest='gpuid', type=int, default=-1
|
||||
, help='GPU ID')
|
||||
|
||||
|
||||
return parser
|
||||
|
||||
def cmdLineParse(iargs = None):
|
||||
parser = createParser()
|
||||
inps = parser.parse_args(args=iargs)
|
||||
|
||||
return inps
|
||||
|
||||
@use_api
|
||||
def estimateOffsetField(reference, secondary, inps=None):
|
||||
|
||||
###Loading the secondary image object
|
||||
sim = isceobj.createSlcImage()
|
||||
sim.load(secondary+'.xml')
|
||||
sim.setAccessMode('READ')
|
||||
sim.createImage()
|
||||
|
||||
|
||||
###Loading the reference image object
|
||||
sar = isceobj.createSlcImage()
|
||||
sar.load(reference + '.xml')
|
||||
sar.setAccessMode('READ')
|
||||
sar.createImage()
|
||||
|
||||
|
||||
width = sar.getWidth()
|
||||
length = sar.getLength()
|
||||
|
||||
objOffset = PyCuAmpcor.PyCuAmpcor()
|
||||
|
||||
objOffset.algorithm = 0
|
||||
objOffset.deviceID = inps.gpuid # -1:let system find the best GPU
|
||||
objOffset.nStreams = 2 #cudaStreams
|
||||
objOffset.derampMethod = inps.deramp
|
||||
print(objOffset.derampMethod)
|
||||
|
||||
objOffset.referenceImageName = reference + '.vrt'
|
||||
objOffset.referenceImageHeight = length
|
||||
objOffset.referenceImageWidth = width
|
||||
objOffset.secondaryImageName = secondary + '.vrt'
|
||||
objOffset.secondaryImageHeight = length
|
||||
objOffset.secondaryImageWidth = width
|
||||
|
||||
print("image length:",length)
|
||||
print("image width:",width)
|
||||
|
||||
objOffset.numberWindowDown = (length-2*inps.margin-2*inps.srchgt-inps.winhgt)//inps.skiphgt
|
||||
objOffset.numberWindowAcross = (width-2*inps.margin-2*inps.srcwidth-inps.winwidth)//inps.skipwidth
|
||||
|
||||
if (inps.numWinDown != -1):
|
||||
objOffset.numberWindowDown = inps.numWinDown
|
||||
|
||||
if (inps.numWinAcross != -1):
|
||||
objOffset.numberWindowAcross = inps.numWinAcross
|
||||
|
||||
|
||||
print("nlines: ",objOffset.numberWindowDown)
|
||||
print("ncolumns: ",objOffset.numberWindowAcross)
|
||||
|
||||
|
||||
# window size
|
||||
objOffset.windowSizeHeight = inps.winhgt
|
||||
objOffset.windowSizeWidth = inps.winwidth
|
||||
|
||||
print(objOffset.windowSizeHeight)
|
||||
print(objOffset.windowSizeWidth)
|
||||
|
||||
# search range
|
||||
objOffset.halfSearchRangeDown = inps.srchgt
|
||||
objOffset.halfSearchRangeAcross = inps.srcwidth
|
||||
print(inps.srchgt,inps.srcwidth)
|
||||
|
||||
# starting pixel
|
||||
objOffset.referenceStartPixelDownStatic = inps.margin
|
||||
objOffset.referenceStartPixelAcrossStatic = inps.margin
|
||||
|
||||
# skip size
|
||||
objOffset.skipSampleDown = inps.skiphgt
|
||||
objOffset.skipSampleAcross = inps.skipwidth
|
||||
|
||||
# oversampling
|
||||
objOffset.corrSufaceOverSamplingMethod = 0
|
||||
objOffset.corrSurfaceOverSamplingFactor = inps.oversample
|
||||
#objOffset.rawDataOversamplingFactor = 4
|
||||
|
||||
# output filenames
|
||||
objOffset.offsetImageName = str(inps.outprefix) + str(inps.outsuffix) + '.bip'
|
||||
objOffset.grossOffsetImageName = str(inps.outprefix) + str(inps.outsuffix) + '_gross.bip'
|
||||
objOffset.snrImageName = str(inps.outprefix) + str(inps.outsuffix) + '_snr.bip'
|
||||
|
||||
print("offsetfield: ",objOffset.offsetImageName)
|
||||
print("gross offsetfield: ",objOffset.grossOffsetImageName)
|
||||
print("snr: ",objOffset.snrImageName)
|
||||
|
||||
offsetImageName = objOffset.offsetImageName.decode('utf8')
|
||||
#print(type(offsetImageName))
|
||||
#print(offsetImageName)
|
||||
#print(type(objOffset.numberWindowAcross))
|
||||
grossOffsetImageName = objOffset.grossOffsetImageName.decode('utf8')
|
||||
snrImageName = objOffset.snrImageName.decode('utf8')
|
||||
|
||||
print(offsetImageName)
|
||||
print(inps.redo)
|
||||
if os.path.exists(offsetImageName) and inps.redo==0:
|
||||
print('offsetfield file exists')
|
||||
else:
|
||||
# generic control
|
||||
objOffset.numberWindowDownInChunk = 5
|
||||
objOffset.numberWindowAcrossInChunk = 5
|
||||
objOffset.mmapSize = 16
|
||||
|
||||
objOffset.setupParams()
|
||||
|
||||
## Set Gross Offset ###
|
||||
|
||||
if inps.gross == 0:
|
||||
objOffset.setConstantGrossOffset(0, 0)
|
||||
else:
|
||||
|
||||
print("Setting up grossOffset...")
|
||||
|
||||
objGrossOff = grossOffsets()
|
||||
|
||||
objGrossOff.setXSize(width)
|
||||
objGrossOff.setYize(length)
|
||||
objGrossOff.setMargin(inps.margin)
|
||||
objGrossOff.setWinSizeHgt(inps.winhgt)
|
||||
objGrossOff.setWinSizeWidth(inps.winwidth)
|
||||
objGrossOff.setSearchSizeHgt(inps.srchgt)
|
||||
objGrossOff.setSearchSizeWidth(inps.srcwidth)
|
||||
objGrossOff.setSkipSizeHgt(inps.skiphgt)
|
||||
objGrossOff.setSkipSizeWidth(inps.skipwidth)
|
||||
objGrossOff.setLatFile(inps.lat)
|
||||
objGrossOff.setLonFile(inps.lon)
|
||||
objGrossOff.setLosFile(inps.los)
|
||||
objGrossOff.setReferenceFile(inps.referencexml)
|
||||
objGrossOff.setbTemp(inps.bTemp)
|
||||
|
||||
|
||||
|
||||
grossDown, grossAcross = objGrossOff.runGrossOffsets()
|
||||
|
||||
# change nan to 0
|
||||
grossDown = np.nan_to_num(grossDown)
|
||||
grossAcross = np.nan_to_num(grossAcross)
|
||||
|
||||
print("Before plotting the gross offsets (min and max): ", np.nanmin(grossDown),np.nanmax(grossDown))
|
||||
print("Before plotting the gross offsets (min and max): ", np.rint(np.nanmin(grossDown)),np.rint(np.nanmax(grossDown)))
|
||||
|
||||
grossDown = np.int32(np.rint(grossDown.ravel()))
|
||||
grossAcross = np.int32(np.rint(grossAcross.ravel()))
|
||||
|
||||
print(np.amin(grossDown), np.amax(grossDown))
|
||||
print(np.amin(grossAcross), np.amax(grossAcross))
|
||||
|
||||
print(grossDown.shape)
|
||||
print(grossDown.shape)
|
||||
|
||||
objOffset.setVaryingGrossOffset(grossDown, grossAcross)
|
||||
#objOffset.setVaryingGrossOffset(np.zeros(shape=grossDown.shape,dtype=np.int32), np.zeros(shape=grossAcross.shape,dtype=np.int32))
|
||||
|
||||
# check
|
||||
objOffset.checkPixelInImageRange()
|
||||
|
||||
# Run the code
|
||||
print('Running PyCuAmpcor')
|
||||
|
||||
objOffset.runAmpcor()
|
||||
|
||||
print('Finished')
|
||||
|
||||
sar.finalizeImage()
|
||||
sim.finalizeImage()
|
||||
|
||||
# Finalize the results
|
||||
# offsetfield
|
||||
|
||||
outImg = isceobj.createImage()
|
||||
outImg.setDataType('FLOAT')
|
||||
outImg.setFilename(offsetImageName)
|
||||
outImg.setBands(2)
|
||||
outImg.scheme = 'BIP'
|
||||
outImg.setWidth(objOffset.numberWindowAcross)
|
||||
outImg.setLength(objOffset.numberWindowDown)
|
||||
outImg.setAccessMode('read')
|
||||
outImg.renderHdr()
|
||||
|
||||
|
||||
# gross offsetfield
|
||||
outImg = isceobj.createImage()
|
||||
outImg.setDataType('FLOAT')
|
||||
outImg.setFilename(grossOffsetImageName)
|
||||
outImg.setBands(2)
|
||||
outImg.scheme = 'BIP'
|
||||
outImg.setWidth(objOffset.numberWindowAcross)
|
||||
outImg.setLength(objOffset.numberWindowDown)
|
||||
outImg.setAccessMode('read')
|
||||
outImg.renderHdr()
|
||||
|
||||
# snr
|
||||
snrImg = isceobj.createImage()
|
||||
snrImg.setFilename(snrImageName)
|
||||
snrImg.setDataType('FLOAT')
|
||||
snrImg.setBands(1)
|
||||
snrImg.setWidth(objOffset.numberWindowAcross)
|
||||
snrImg.setLength(objOffset.numberWindowDown)
|
||||
snrImg.setAccessMode('read')
|
||||
snrImg.renderHdr()
|
||||
|
||||
return objOffset
|
||||
|
||||
def main(iargs=None):
|
||||
|
||||
inps = cmdLineParse(iargs)
|
||||
outDir = os.path.dirname(inps.outprefix)
|
||||
print(inps.outprefix)
|
||||
os.makedirs(outDir, exist_ok=True)
|
||||
|
||||
objOffset = estimateOffsetField(inps.reference, inps.secondary, inps)
|
||||
|
||||
if __name__ == '__main__':
|
||||
|
||||
main()
|
||||
|
|
@ -1,379 +0,0 @@
|
|||
#!/usr/bin/env python3
|
||||
# Generate grossOffsets (pixel) based on velocity field
|
||||
# Author: Minyan Zhong
|
||||
|
||||
|
||||
import numpy as np
|
||||
import pyproj
|
||||
import subprocess
|
||||
import isce
|
||||
import isceobj
|
||||
from iscesys.Component.ProductManager import ProductManager as PM
|
||||
import numpy as np
|
||||
from netCDF4 import Dataset
|
||||
#from mpl_toolkits.basemap import Basemap
|
||||
import gdal
|
||||
|
||||
from scipy.interpolate import interp2d, griddata
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
|
||||
|
||||
class grossOffsets:
|
||||
|
||||
def __init__(self):
|
||||
|
||||
self.nfig = 1
|
||||
self.figsize = (10,10)
|
||||
|
||||
|
||||
## Antarctica Velocity File
|
||||
self.vel_file = '/net/jokull/nobak/mzzhong/Ant_Plot/Data/antarctica_ice_velocity_900m.nc'
|
||||
self.vProj = pyproj.Proj('+init=EPSG:3031')
|
||||
|
||||
def setMode(self,mode):
|
||||
|
||||
if mode == 'interior' or mode == 'exterior':
|
||||
self.mode = mode
|
||||
else:
|
||||
raise Exception('Wrong gross offset mode')
|
||||
|
||||
def setLatFile(self,val):
|
||||
self.latfile = val
|
||||
|
||||
def setLonFile(self,val):
|
||||
self.lonfile = val
|
||||
|
||||
def setLosFile(self,val):
|
||||
self.losfile = val
|
||||
|
||||
def setXSize(self,val):
|
||||
self.XSize = val
|
||||
|
||||
def setYize(self,val):
|
||||
self.YSize = val
|
||||
|
||||
def setMargin(self,val):
|
||||
self.margin = val
|
||||
|
||||
def setWinSizeHgt(self,val):
|
||||
self.winSizeHgt = val
|
||||
|
||||
def setWinSizeWidth(self,val):
|
||||
self.winSizeWidth = val
|
||||
|
||||
def setSearchSizeHgt(self,val):
|
||||
self.searchSizeHgt = val
|
||||
|
||||
def setSearchSizeWidth(self,val):
|
||||
self.searchSizeWidth = val
|
||||
|
||||
def setSkipSizeHgt(self,val):
|
||||
self.skipSizeHgt = val
|
||||
|
||||
def setSkipSizeWidth(self,val):
|
||||
self.skipSizeWidth = val
|
||||
|
||||
# exterior mode
|
||||
def setOffsetLat(self,lat):
|
||||
self.lat = lat
|
||||
|
||||
def setOffsetLon(self,lon):
|
||||
self.lon = lon
|
||||
|
||||
def setOffsetInc(self,inc):
|
||||
self.inc = inc
|
||||
|
||||
def setOffsetAzi(self,azi):
|
||||
self.azi = azi
|
||||
|
||||
def setNumWinDown(self,numWinDown):
|
||||
self.numWinDown = numWinDown
|
||||
|
||||
def setNumWinAcross(self,numWinAcross):
|
||||
self.numWinAcross = numWinAcross
|
||||
|
||||
def setbTemp(self,val):
|
||||
self.bTemp = val
|
||||
|
||||
def setPixelSize(self,azPixelSize,rngPixelSize):
|
||||
|
||||
self.azPixelSize = azPixelSize
|
||||
self.rngPixelSize = rngPixelSize
|
||||
|
||||
def get_veloData(self):
|
||||
|
||||
print("getting velocity data...")
|
||||
fh=Dataset(self.vel_file,mode='r')
|
||||
self.vx = fh.variables['vx'][:]
|
||||
self.vy = fh.variables['vy'][:]
|
||||
self.vx = np.flipud(self.vx)
|
||||
self.vy = np.flipud(self.vy)
|
||||
self.v = np.sqrt(np.multiply(self.vx,self.vx)+np.multiply(self.vy,self.vy))
|
||||
print(self.v.shape)
|
||||
|
||||
self.x0 = np.arange(-2800000,2800000,step=900)
|
||||
self.y0 = np.arange(-2800000,2800000,step=900)+200
|
||||
|
||||
#x,y = np.meshgrid(self.x0,self.y0)
|
||||
|
||||
#from mpl_toolkits.basemap import Basemap
|
||||
#self.AntVeloDataMap = Basemap(width=5600000,height=5600000,\
|
||||
# resolution='l',projection='stere',\
|
||||
# lat_ts=-71,lat_0=-90,lon_0=0)
|
||||
|
||||
#self.vel_lon, self.vel_lat= self.vProj(x,y,inverse="true")
|
||||
|
||||
def runGrossOffsets(self):
|
||||
|
||||
###Pieces of information needed
|
||||
|
||||
###These pieces of information come from the output of "topo" module from ISCE
|
||||
### llh - size(3) - lat,lon,hgt of pixel under consideration
|
||||
### los - size(2) - inc, azi LOS angles
|
||||
|
||||
|
||||
###These pieces of information come from an external velocity product, e.g from NSIDC
|
||||
|
||||
### vx - scalar - Velocity in x direction at pixel under consideration
|
||||
### vy - scalar - Velocity in y direction at pixel under consideration
|
||||
### vproj - string - Projection system of the velocity field
|
||||
### - EPSG:3031 for Antarctica
|
||||
### - EPSG:3413 for Greenland
|
||||
|
||||
|
||||
#### The equations below describe the operations needed for a single pixel
|
||||
#### I will use Greenland as an example. Easy to change for Antarctica by changing the coordinate system.
|
||||
|
||||
### Step 0: Set up projection transformers for ease of use
|
||||
self.llhProj = pyproj.Proj('+init=EPSG:4326') ##Standard lat,lon, hgt
|
||||
self.xyzProj = pyproj.Proj('+init=EPSG:4978') ##Standard xyz (ECEF)
|
||||
refPt = self.vProj(0.0, 0.0, inverse=True)
|
||||
|
||||
print(refPt)
|
||||
|
||||
### Step 1: Set up radar image information
|
||||
azPixelSize = self.azPixelSize
|
||||
rngPixelSize = self.rngPixelSize
|
||||
|
||||
### Step 2: Cut the data
|
||||
|
||||
print('Obtain the velocity data...')
|
||||
self.get_veloData()
|
||||
|
||||
print('Extract the data to this radar scene...')
|
||||
|
||||
if self.mode == 'interior':
|
||||
|
||||
numWinDown = (self.YSize - self.margin*2 - self.searchSizeHgt*2 - self.winSizeHgt) // self.skipSizeHgt
|
||||
numWinAcross = (self.XSize - self.margin*2 - self.searchSizeWidth*2 - self.winSizeWidth) // self.skipSizeWidth
|
||||
|
||||
lat = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
lon = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
inc = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
azi = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
|
||||
self.centerOffsetHgt = self.searchSizeHgt+self.skipSizeHgt//2-1
|
||||
self.centerOffsetWidth = self.searchSizeWidth+self.skipSizeWidth//2-1
|
||||
|
||||
elif self.mode == 'exterior':
|
||||
|
||||
numWinDown = self.numWinDown
|
||||
numWinAcross = self.numWinAcross
|
||||
|
||||
lat = self.lat
|
||||
lon = self.lon
|
||||
inc = self.inc
|
||||
azi = self.azi
|
||||
|
||||
print(numWinDown)
|
||||
print(numWinAcross)
|
||||
|
||||
cut_vx = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
cut_vy = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
cut_v = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
pixel = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
line = np.zeros(shape=(numWinDown,numWinAcross))
|
||||
|
||||
|
||||
for iwin in range(numWinDown):
|
||||
|
||||
if self.mode == 'interior':
|
||||
|
||||
print('Processing line: ',iwin)
|
||||
down = self.margin + self.skipSizeHgt * iwin + self.centerOffsetHgt
|
||||
off = down*self.XSize
|
||||
|
||||
# Warning: depend on the ENVI format. This is for BSQ
|
||||
off2 = self.YSize * self.XSize + down*self.XSize
|
||||
|
||||
start = self.margin + self.centerOffsetWidth
|
||||
end = self.margin + self.skipSizeWidth * numWinAcross
|
||||
|
||||
latline = np.memmap(filename=self.latfile,dtype='float64',offset=8*off,shape=(self.XSize))
|
||||
lonline = np.memmap(filename=self.lonfile,dtype='float64',offset=8*off,shape=(self.XSize))
|
||||
incline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off,shape=(self.XSize))
|
||||
aziline = np.memmap(filename=self.losfile,dtype='float32',offset=4*off2,shape=(self.XSize))
|
||||
|
||||
lat[iwin,:] = latline[start:end:self.skipSizeWidth]
|
||||
lon[iwin,:] = lonline[start:end:self.skipSizeWidth]
|
||||
inc[iwin,:] = incline[start:end:self.skipSizeWidth]
|
||||
azi[iwin,:] = aziline[start:end:self.skipSizeWidth]
|
||||
|
||||
#print(iwin,': ',lon[iwin,:])
|
||||
#print(iwin,': ',lat[iwin,:])
|
||||
#print(iwin,': ',inc[iwin,:])
|
||||
#print(iwin,': ',azi[iwin,:])
|
||||
|
||||
#### Look up in MEaSUREs InSAR-Based Antarctica Ice Velocity Map
|
||||
|
||||
xyMap = pyproj.transform(self.llhProj, self.vProj, lon[iwin,:], lat[iwin,:])
|
||||
#xyMap = self.vProj(lon[iwin,:],lat[iwin,:])
|
||||
|
||||
pixel[iwin,:] = np.clip((xyMap[0]-self.x0[0])/900, 0, self.vx.shape[1]-1)
|
||||
line[iwin,:] = np.clip((xyMap[1]-self.y0[0])/900, 0, self.vx.shape[0]-1)
|
||||
|
||||
pixel_int = pixel[iwin,:].astype(int)
|
||||
line_int = line[iwin,:].astype(int)
|
||||
|
||||
# For Debug
|
||||
#print(iwin,': ', 'location: ', xyMap[0],xyMap[1])
|
||||
#print(iwin,': ', 'location: ', lon[iwin,:],lat[iwin,:])
|
||||
|
||||
cut_vx[iwin,:] = self.vx[line_int,pixel_int]
|
||||
cut_vy[iwin,:] = self.vy[line_int,pixel_int]
|
||||
cut_v[iwin,:] = np.sqrt(np.multiply(cut_vx[iwin,:],cut_vx[iwin,:]),np.multiply(cut_vy[iwin,:],cut_vy[iwin,:]))
|
||||
|
||||
## Interpolate offsetfield
|
||||
# Mask out invalid value based on the value of lat (or lon) (only work for polar region)
|
||||
# Mask out zero velocity
|
||||
print('Interpolating velocity field...')
|
||||
valid = np.logical_and(lat!=0,cut_v!=0)
|
||||
x0=np.arange(numWinAcross)
|
||||
y0=np.arange(numWinDown)
|
||||
xx,yy=np.meshgrid(x0,y0)
|
||||
|
||||
grid_x,grid_y=[grid.ravel() for grid in np.meshgrid(x0,y0)]
|
||||
|
||||
points = np.column_stack((xx[valid],yy[valid]))
|
||||
print(points.shape)
|
||||
in_dat = cut_vx[valid]
|
||||
cut_vx_new = griddata(points, in_dat, (grid_x, grid_y), method='linear')
|
||||
in_dat = cut_vy[valid]
|
||||
cut_vy_new = griddata(points, in_dat, (grid_x, grid_y), method='linear')
|
||||
|
||||
cut_vx_new = cut_vx_new.reshape(numWinDown,numWinAcross)
|
||||
cut_vy_new = cut_vy_new.reshape(numWinDown,numWinAcross)
|
||||
|
||||
# mask out invalid values at margin
|
||||
cut_vx_new[lat==0] = np.nan
|
||||
cut_vy_new[lat==0] = np.nan
|
||||
|
||||
cut_v_new = np.sqrt(np.multiply(cut_vx_new,cut_vx_new),np.multiply(cut_vy_new,cut_vy_new))
|
||||
|
||||
print(cut_v_new)
|
||||
print(cut_v_new.shape)
|
||||
|
||||
##########
|
||||
#fig=plt.figure(10,figsize=(10,10))
|
||||
#ax = fig.add_subplot(111)
|
||||
#print(cut_v.shape)
|
||||
#ax.imshow(np.clip(cut_v_new,0,1000),cmap=plt.cm.viridis)
|
||||
#fig.savefig('10.png',format='png')
|
||||
|
||||
### Step 3: Convert XY velocity to EN velocity (clockwise rotation)
|
||||
|
||||
print('Coverting XY to EN...')
|
||||
lonr = np.radians(lon - refPt[0])
|
||||
|
||||
cut_ve = np.multiply(cut_vx_new, np.cos(lonr)) - np.multiply(cut_vy_new, np.sin(lonr))
|
||||
cut_vn = np.multiply(cut_vy_new, np.cos(lonr)) + np.multiply(cut_vx_new, np.sin(lonr))
|
||||
|
||||
print('Polar stereographic velocity: ', [cut_vx, cut_vy])
|
||||
print('Local ENU velocity: ', [cut_ve, cut_vn])
|
||||
|
||||
####Step 4: Convert EN velocity to rng and azimuth
|
||||
|
||||
#Local los and azi vector in ENU coordinate
|
||||
|
||||
print(' Coverting EN to rdr...')
|
||||
incr = np.radians(inc)
|
||||
azir = np.radians(azi)
|
||||
losr = np.radians(azi-90.0)
|
||||
|
||||
losenu=[ np.multiply(np.sin(incr),np.cos(losr)),
|
||||
np.multiply(np.sin(incr),np.sin(losr)),
|
||||
-np.cos(incr) ]
|
||||
|
||||
azienu=[ np.cos(azir),
|
||||
np.sin(azir),
|
||||
0.0 ]
|
||||
|
||||
grossRangeOffset = (self.bTemp/365.25) * (cut_ve * losenu[0] + cut_vn * losenu[1])/ rngPixelSize
|
||||
|
||||
grossAzimuthOffset = (self.bTemp/365.25) * (cut_ve * azienu[0] + cut_vn * azienu[1]) / azPixelSize
|
||||
|
||||
print('Gross azimuth offset: ', grossAzimuthOffset)
|
||||
print('Gross range offset: ', grossRangeOffset)
|
||||
|
||||
# Float
|
||||
fig=plt.figure(21,figsize=(16,9))
|
||||
#ax = fig.add_subplot(121)
|
||||
ax = fig.add_axes([0.05,0.05,0.4,0.9])
|
||||
ax.set_title('gross azimuth offset',fontsize=15)
|
||||
print(grossRangeOffset.shape)
|
||||
cax = ax.imshow(grossAzimuthOffset,cmap=plt.cm.coolwarm)
|
||||
cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset))+0.1))
|
||||
cbar.set_label("pixel",fontsize=15)
|
||||
|
||||
#ax = fig.add_subplot(122)
|
||||
ax = fig.add_axes([0.55,0.05,0.4,0.9])
|
||||
ax.set_title('gross range offset',fontsize=15)
|
||||
print(grossRangeOffset.shape)
|
||||
cax = ax.imshow(grossRangeOffset,cmap=plt.cm.coolwarm)
|
||||
|
||||
cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossRangeOffset)),np.rint(np.nanmax(grossRangeOffset))+0.1))
|
||||
cbar.set_label("pixel",fontsize=15)
|
||||
|
||||
#fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
|
||||
#fig.tight_layout()
|
||||
fig.savefig('21.png',format='png')
|
||||
|
||||
|
||||
|
||||
|
||||
## Round to integer
|
||||
fig=plt.figure(22,figsize=(16,9))
|
||||
#ax = fig.add_subplot(121)
|
||||
ax = fig.add_axes([0.05,0.05,0.4,0.9])
|
||||
ax.set_title('gross azimuth offset',fontsize=15)
|
||||
print(grossRangeOffset.shape)
|
||||
cax = ax.imshow(np.rint(grossAzimuthOffset),cmap=plt.cm.coolwarm)
|
||||
cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset))+0.1))
|
||||
cbar.set_label("pixel",fontsize=15)
|
||||
|
||||
#ax = fig.add_subplot(122)
|
||||
ax = fig.add_axes([0.55,0.05,0.4,0.9])
|
||||
ax.set_title('gross range offset',fontsize=15)
|
||||
print(grossRangeOffset.shape)
|
||||
cax = ax.imshow(np.rint(grossRangeOffset),cmap=plt.cm.coolwarm)
|
||||
|
||||
print("Before plotting the gross offsets (min and max): ", np.rint(np.nanmin(grossAzimuthOffset)),np.rint(np.nanmax(grossAzimuthOffset)))
|
||||
|
||||
cbar = fig.colorbar(cax,fraction=0.035,pad=0.04,ticks=np.arange(np.rint(np.nanmin(grossRangeOffset)),np.rint(np.nanmax(grossRangeOffset))+0.1))
|
||||
cbar.set_label("pixel",fontsize=15)
|
||||
|
||||
#fig.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)
|
||||
#fig.tight_layout()
|
||||
fig.savefig('22.png',format='png')
|
||||
|
||||
return grossAzimuthOffset, grossRangeOffset
|
||||
|
||||
def main():
|
||||
|
||||
grossObj = grossOffsets()
|
||||
grossObj.runGrossOffsets()
|
||||
|
||||
if __name__=='__main__':
|
||||
main()
|
||||
|
||||
Loading…
Reference in New Issue