Fast and Latent Low-Rank Subspace Clustering for Hyperspectral Band Selection

IEEE Transactions on Geoscience and Remote Sensing, pp. 3906-3915, 2020.

Cited by: 0|Bibtex|Views5|DOI:https://doi.org/10.1109/TGRS.2019.2959342
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

This article presents a fast and latent low-rank subspace clustering (FLLRSC) method to select hyperspectral bands. The FLLRSC assumes that all the bands are sampled from a union of latent low-rank independent subspaces and formulates the self-representation property of all bands into a latent low-rank representation (LLRR) model. The ass...More

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