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