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计算机科学 2011
Hyperspectral Remote Sensing Image Terrain Classification Based on Direct LDA
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Abstract:
Hyperspectral remote sensing image has the problem of high dimensionality.A new hyperspectral image terrain classification method,i.e.,direct LDA subspace method,was presented.Firstly,direct linear discriminant analysis(direct LDA) was used to extract features in original high dimensional hyperspectral space,and then shortest distance classifier was used to perform terrain classification in the feature subspace.Recognition results based on airborne visible/infrared imaging spectrometer(AVIRIS) hyperspectral...