Double Reweighted Sparse Regression and Graph Regularization for Hyperspectral Unmixing
Hyperspectral unmixing, aiming to estimate the fractional abundances of pure spectral signatures in each mixed pixel, has attracted considerable attention in analyzing hyperspectral images. Plenty of sparse unmixing methods have been proposed in the literature that achieved promising performance. Ho...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-07-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/7/1046 |