Abstract:The traditional classification algorithms have been widely applied for hyperspectral imagery (HSI), but many methods exploit spectral or spatial information in HSI data that doesn't make full use of the information of HSI data. To solve this problem, a new classification method, termed multiple characteristics similarity metric (MCSM), was proposed in this paper for HSI classification. In MCSM, a spatial similarity probability relationship, a sparse similarity relationship and a collaborative similarity relati… Show more
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