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A Robust Built-up Area Presence Index by Anisotropic Rotation-invariant Textural Measure

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A procedure for the calculation of a texture-derived built-up presence index (PanTex) from textural characteristics of panchromatic satellite data is presented. The index is based on fuzzy rule-based composition of anisotropic textural co-occurrence measures derived from the satellite data by the gray-level co-occurrence matrix (GLCM). The strength and weakness of the procedure is analyzed and compared with traditional radiometric and textural approaches with the help of specific examples. A variant of the PanTex is proposed including information on vegetation if available (PanTexG). The accuracy and robustness of PanTex against seasonal changes, multi-sensor, multi-scene, and data degradation by wavelet-based compression and histogram stretching is discussed with some examples.
2009-02-03
IEEE
JRC37845
1939-1404,   
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