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Kernel Sparse Subspace Clustering with Total Variation Denoising for Hyperspectral Remote Sensing Images

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Abstract

This paper proposes a new hyperspectral image subspace clustering framework which adds a total variation denoising constraint in order to improve the similarity between data points from the same subspace.

© 2017 Optical Society of America

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