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Hyperspectral Remote Sensing Image Terrain Classification Based on Direct LDA
基于direct LDA的高光谱遥感影像地物分类

Keywords: Terrain classification,Feature subspace,Fcature extraction,Hyperspectral image
地物分类,特征子空间,特征提取,高光谱影像

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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...

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