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This paper proposes a new scheme for hyperspectral image classification through k-means clustering. The scheme includes three steps. Firstly, principal component analysis (PCA) is utilized for dimension reduction of the hyperspectral image. Secondly, the reduced features are clustered using k-means clustering algorithm and subsequently the clusters are trained separately by multi-class support vector...
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