JezK
Edit File: classify.py
#!/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 Usage(): print("Usage: classify.py src_filename dst_filename") print("") print(" classify.py utm.tif classes.tif") return 2 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=sys.argv, src_filename=None, dst_filename=None): if len(argv) > 1: src_filename = argv[1] if len(argv) > 2: dst_filename = argv[2] if not src_filename or not dst_filename: return Usage() return doit(src_filename, dst_filename) if __name__ == "__main__": sys.exit(main(sys.argv))