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Impervious surface percentage(ISP) is the key parameter for urban regional environment research. This paper proposes the method of ISP estimation by using support vector machine(SVM) on TM image: (1) extract the ISA pixels which occupies any portion of the constructed impervious class based on SVM classification for spatial inputs of ISP estimation (2) estimate ISP of ISA pixels by using SVM regression...
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