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As the abundant spectral information of hyperspectral image, traditional pixel-wise classification methods is time-consuming in hyperspectral images. And purely pixel-wise classification methods often ignore lots of space information. In this paper, we investigate the usage of Kendall Concordant Coefficient (KCC) for region-dependent segmentation of the original hyperspectral data cube. The KCC-based...
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