Double Reweighted Sparse Regression and Graph Regularization for Hyperspectral Unmixing

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...

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Bibliographic Details
Main Authors: Si Wang, Ting-Zhu Huang, Xi-Le Zhao, Gang Liu, Yougan Cheng
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:Remote Sensing
Subjects:
graph regularization
sparse
hyperspectral imaging
reweighted
unmixing
abundance
Online Access:http://www.mdpi.com/2072-4292/10/7/1046

Internet

http://www.mdpi.com/2072-4292/10/7/1046

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