77 lines
2.6 KiB
Python
77 lines
2.6 KiB
Python
#!/usr/bin/env python3
|
|
# ******************************************************************************
|
|
#
|
|
# Project: GDAL
|
|
# Purpose: Example doing range based classification
|
|
# Author: Frank Warmerdam, warmerdam@pobox.com
|
|
#
|
|
# ******************************************************************************
|
|
# Copyright (c) 2008, Frank Warmerdam <warmerdam@pobox.com>
|
|
#
|
|
# Permission is hereby granted, free of charge, to any person obtaining a
|
|
# copy of this software and associated documentation files (the "Software"),
|
|
# to deal in the Software without restriction, including without limitation
|
|
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
|
|
# and/or sell copies of the Software, and to permit persons to whom the
|
|
# Software is furnished to do so, subject to the following conditions:
|
|
#
|
|
# The above copyright notice and this permission notice shall be included
|
|
# in all copies or substantial portions of the Software.
|
|
#
|
|
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
|
|
# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
|
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
|
|
# THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
|
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
|
|
# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
|
|
# DEALINGS IN THE SOFTWARE.
|
|
# ******************************************************************************
|
|
|
|
import sys
|
|
import numpy as np
|
|
|
|
from osgeo import gdal, gdal_array
|
|
|
|
|
|
def doit(src_filename, dst_filename):
|
|
class_defs = [(1, 10, 20),
|
|
(2, 20, 30),
|
|
(3, 128, 255)]
|
|
|
|
src_ds = gdal.Open(src_filename)
|
|
xsize = src_ds.RasterXSize
|
|
ysize = src_ds.RasterYSize
|
|
|
|
src_image = gdal_array.LoadFile(src_filename)
|
|
|
|
dst_image = np.zeros((ysize, xsize))
|
|
|
|
for class_info in class_defs:
|
|
class_id = class_info[0]
|
|
class_start = class_info[1]
|
|
class_end = class_info[2]
|
|
|
|
class_value = np.ones((ysize, xsize)) * class_id
|
|
|
|
mask = np.bitwise_and(
|
|
np.greater_equal(src_image, class_start),
|
|
np.less_equal(src_image, class_end))
|
|
|
|
dst_image = np.choose(mask, (dst_image, class_value))
|
|
|
|
gdal_array.SaveArray(dst_image, dst_filename)
|
|
|
|
|
|
def main(argv):
|
|
src_filename = 'utm.tif'
|
|
dst_filename = 'classes.tif'
|
|
if len(argv) > 1:
|
|
src_filename = argv[1]
|
|
if len(argv) > 2:
|
|
dst_filename = argv[2]
|
|
return doit(src_filename, dst_filename)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
sys.exit(main(sys.argv))
|