Superpixel-Based Weighted Sparse Regression and Spectral Similarity Constrained for Hyperspectral Unmixing

With the support of spectral libraries, sparse unmixing techniques have gradually developed. However, some existing sparse unmixing algorithms suffer from problems, such as insufficient utilization of spatial information and sensitivity to noise. To solve these problems, this article proposes a nove...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Yao Liang, Hengyi Zheng, Guoguo Yang, Qian Du, Hongjun Su
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Hyperspectral unmixing (HU) spectral similarity superpixel segmentation weighted sparse regression
Online Access:	https://ieeexplore.ieee.org/document/10192339/