ISCE_INSAR/components/isceobj/StripmapProc/runCrop.py

318 lines
11 KiB
Python
Executable File

#!/usr/bin/env python3
import numpy as np
import shelve
import isceobj
import copy
import datetime
import os
from imageMath import IML
import logging
#####Helper functions for geobox manipulation
def geoboxToAzrgbox(frame, geobox, israw=False, isnative=False, margin=0.02, zrange=None):
'''
Convert a geo bounding box - SNWE to pixel limits.
'''
from isceobj.Util.Poly2D import Poly2D
from isceobj.Planet.Planet import Planet
from isceobj.Constants import SPEED_OF_LIGHT
if zrange is None:
zrange = [-500., 9000.]
rgs = []
azs = []
combos = [ [geobox[0]-margin, geobox[2]-margin],
[geobox[0]-margin, geobox[3]+margin],
[geobox[1]+margin, geobox[3]-margin],
[geobox[1]+margin, geobox[2]+margin] ]
lookSide = frame.instrument.platform.pointingDirection
planet = Planet(pname='Earth')
wvl = frame.instrument.getRadarWavelength()
if (isnative or israw):
####If geometry is in native doppler / raw
####You need doppler as a function of range to do
####geometry mapping correctly
###Currently doppler is saved as function of pixel number - old ROIPAC style
###Transform to function of slant range
coeff = frame._dopplerVsPixel
doppler = Poly2D()
doppler._meanRange = frame.startingRange
doppler._normRange = frame.instrument.rangePixelSize
doppler.initPoly(azimuthOrder=0, rangeOrder=len(coeff)-1, coeffs=[coeff])
else:
###Zero doppler system
doppler = Poly2D()
doppler.initPoly(azimuthOrder=0, rangeOrder=0, coeffs=[[0.]])
####Do
for z in zrange:
for combo in combos:
try:
taz, rgm = frame.orbit.geo2rdr(combo + [z], side=lookSide,
doppler=doppler, wvl=wvl)
azs.append(taz)
rgs.append(rgm)
except:
pass
if len(azs) <= 1:
raise Exception('Could not map geobbox coordinates to image')
azrgbox = [np.min(azs), np.max(azs), np.min(rgs), np.max(rgs)]
if israw:
####If cropping raw product, need to add an aperture length in range and azimuth
###Extra slant range at near and far range due to the uncompressed pulse
deltaRg = np.abs(frame.instrument.pulseLength * SPEED_OF_LIGHT/2.0)
print('RAW data - adding range aperture (in m) : ', deltaRg)
azrgbox[2] -= deltaRg
azrgbox[3] += deltaRg
###Extra azimuth samples at far range
elp =copy.copy( planet.ellipsoid)
svmid = frame.orbit.interpolateOrbit(frame.sensingMid, method='hermite')
xyz = svmid.getPosition()
vxyz = svmid.getVelocity()
llh = elp.xyz_to_llh(xyz)
heading = frame.orbit.getENUHeading(frame.sensingMid)
print('Heading: ', heading)
elp.setSCH(llh[0], llh[1], heading)
sch, schvel = elp.xyzdot_to_schdot(xyz, vxyz)
vel = np.linalg.norm(schvel)
synthAperture = np.abs(wvl* azrgbox[3]/(frame.instrument.platform.antennaLength*vel))
deltaAz = datetime.timedelta(seconds=synthAperture)
print('RAW data - adding azimuth aperture (in s) : ', synthAperture)
azrgbox[0] -= deltaAz
azrgbox[1] += deltaAz
return azrgbox
def cropFrame(frame, limits, outname, israw=False):
'''
Crop the frame.
Parameters to change:
startingRange
farRange
sensingStart
sensingStop
sensingMid
numberOfLines
numberOfSamples
dopplerVsPixel
'''
outframe = copy.deepcopy(frame)
if not israw:
img = isceobj.createImage()
img.load(frame.image.filename+'.xml')
outframe.image = img
if israw:
factor = 2
else:
factor = 1
####sensing start
ymin = np.floor( (limits[0] - frame.sensingStart).total_seconds() * frame.PRF)
print('Line start: ', ymin)
ymin = np.int( np.clip(ymin, 0, frame.numberOfLines-1))
####sensing stop
ymax = np.ceil( (limits[1] - frame.sensingStart).total_seconds() * frame.PRF) + 1
print('Line stop: ', ymax)
ymax = np.int( np.clip(ymax, 1, frame.numberOfLines))
print('Line limits: ', ymin, ymax)
print('Original Line Limits: ', 0, frame.numberOfLines)
if (ymax-ymin) <= 1:
raise Exception('Azimuth limits appear to not overlap with the scene')
outframe.sensingStart = frame.sensingStart + datetime.timedelta(seconds = ymin/frame.PRF)
outframe.numberOfLines = ymax - ymin
outframe.sensingStop = frame.sensingStop + datetime.timedelta(seconds = (ymax-1)/frame.PRF)
outframe.sensingMid = outframe.sensingStart + 0.5 * (outframe.sensingStop - outframe.sensingStart)
####starting range
xmin = np.floor( (limits[2] - frame.startingRange)/frame.instrument.rangePixelSize)
print('Pixel start: ', xmin)
xmin = np.int(np.clip(xmin, 0, (frame.image.width//factor)-1))
####far range
xmax = np.ceil( (limits[3] - frame.startingRange)/frame.instrument.rangePixelSize)+1
print('Pixel stop: ', xmax)
xmax = np.int(np.clip(xmax, 1, frame.image.width//factor))
print('Pixel limits: ', xmin, xmax)
print('Original Pixel Limits: ', 0, frame.image.width//factor)
if (xmax - xmin) <= 1:
raise Exception('Range limits appear to not overlap with the scene')
outframe.startingRange = frame.startingRange + xmin * frame.instrument.rangePixelSize
outframe.numberOfSamples = (xmax - xmin) * factor
outframe.setFarRange( frame.startingRange + (xmax-xmin-1) * frame.instrument.rangePixelSize)
####Adjust Doppler centroid coefficients
coeff = frame._dopplerVsPixel
rng = np.linspace(xmin, xmax, len(coeff) + 1)
dops = np.polyval(coeff[::-1], rng)
rng = rng - xmin ###Adjust the start
pol = np.polyfit(rng, dops, len(coeff)-1)
outframe._dopplerVsPixel = list(pol[::-1])
####Adjusting the image now
####Can potentially use israw to apply more logic but better to use new version
if frame.image.xmin != 0 :
raise Exception('Looks like you are still using an old version of ISCE. The new version completely strips out the header bytes. Please switch to the latest ...')
inname = frame.image.filename
suffix = os.path.splitext(inname)[1]
outdirname = os.path.dirname(outname)
os.makedirs(outdirname, exist_ok=True)
indata = IML.mmapFromISCE(inname, logging)
indata.bands[0][ymin:ymax,xmin*factor:xmax*factor].tofile(outname)
indata = None
outframe.image.filename = outname
outframe.image.width = outframe.numberOfSamples
outframe.image.length = outframe.numberOfLines
outframe.image.xmax = outframe.numberOfSamples
outframe.image.coord1.coordSize = outframe.numberOfSamples
outframe.image.coord1.coordEnd = outframe.numberOfSamples
outframe.image.coord2.coordSize = outframe.numberOfLines
outframe.image.coord2.coordEnd = outframe.numberOfLines
outframe.image.renderHdr()
return outframe
def runCrop(self, raw=False):
'''
Crop step based on region of interest.
'''
bbox = self.regionOfInterest
if raw:
if self.regionOfInterest is None:
self._insar.masterRawCropProduct = self._insar.masterRawProduct
self._insar.slaveRawCropProduct = self._insar.slaveRawProduct
print('No region of interesting provided, skipping cropping of raw data')
return
###Check if master started at raw
if self._insar.masterRawProduct is None:
self._insar.masterRawCropProduct = self._insar.masterRawProduct
print('Looks like master product is SLC, skipping raw cropping')
else:
frame = self._insar.loadProduct( self._insar.masterRawProduct)
outdir = os.path.splitext(self._insar.masterRawProduct)[0] + '_crop'
outname = os.path.join( outdir, os.path.basename(self.master.output) + '.raw')
limits = geoboxToAzrgbox(frame, self.regionOfInterest,
israw=True, zrange=self.heightRange)
outframe = cropFrame(frame, limits, outname,
israw=True)
self._insar.saveProduct( outframe, outdir + '.xml')
self._insar.masterRawCropProduct = outdir + '.xml'
frame = None
outframe = None
###Check if slave started at raw
if self._insar.slaveRawProduct is None:
self._insar.slaveRawCropProduct = self._insar.slaveRawProduct
print('Looks like slave product is SLC, skipping raw cropping')
else:
frame = self._insar.loadProduct( self._insar.slaveRawProduct)
outdir = os.path.splitext(self._insar.slaveRawProduct)[0] + '_crop'
outname = os.path.join( outdir, os.path.basename(self.slave.output) + '.raw')
limits = geoboxToAzrgbox(frame, self.regionOfInterest,
israw=True, zrange=self.heightRange)
outframe = cropFrame(frame, limits, outname,
israw=True)
self._insar.saveProduct( outframe, outdir + '.xml')
self._insar.slaveRawCropProduct = outdir + '.xml'
frame = None
outframe = None
return
else:
if self.regionOfInterest is None:
self._insar.masterSlcCropProduct = self._insar.masterSlcProduct
self._insar.slaveSlcCropProduct = self._insar.slaveSlcProduct
print('No region of interesting provided, skipping cropping of slc data')
return
###Crop master SLC
frame = self._insar.loadProduct( self._insar.masterSlcProduct)
outdir = os.path.splitext(self._insar.masterSlcProduct)[0] + '_crop'
outname = os.path.join( outdir, os.path.basename(self.master.output) + '.slc')
limits = geoboxToAzrgbox(frame, self.regionOfInterest,
israw=False, isnative=self.insar.masterGeometrySystem.upper().startswith('NATIVE'),
zrange=self.heightRange)
outframe = cropFrame(frame, limits, outname,
israw=False)
self._insar.saveProduct( outframe, outdir + '.xml')
self._insar.masterSlcCropProduct = outdir + '.xml'
frame = None
outframe = None
###Crop master SLC
frame = self._insar.loadProduct( self._insar.slaveSlcProduct)
outdir = os.path.splitext(self._insar.slaveSlcProduct)[0] + '_crop'
outname = os.path.join( outdir, os.path.basename(self.slave.output) + '.slc')
limits = geoboxToAzrgbox(frame, self.regionOfInterest,
israw=False, isnative=self.insar.masterGeometrySystem.upper().startswith('NATIVE'),
zrange=self.heightRange)
outframe = cropFrame(frame, limits, outname,
israw=False)
self._insar.saveProduct( outframe, outdir + '.xml')
self._insar.slaveSlcCropProduct = outdir + '.xml'
frame = None
outframe = None
return