Estimating impervious surface base on comparison of spectral mixture analysis and support vector machine methods
利用混合光谱分解与SVM估算不透水面覆盖率

Impervious surface percentage(ISP) is the key parameter for urban regional environment research.This paper compares the ISP estimate-performance of spectral mixture analysis(SMA) and support vector machine(SVM) on TM image.The SVM model establish the non-linear relationship between spectral feature of TM pixels and corresponding ground sample ISP values and then be implied on without-sample TM pixels for ISP estimation.On the TM image of Tianjin urban area,we first select high resolution image from Quickbir...