Sparse Unmixing of Hyperspectral Data with Noise Level Estimation

Sparse Unmixing of Hyperspectral Data with Noise Level Estimation

Recently, sparse unmixing has received particular attention in the analysis of hyperspectral images (HSIs). However, traditional sparse unmixing ignores the different noise levels in different bands of HSIs, making such methods sensitive to different noise levels. To overcome this problem, the noise...

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Bibliographic Details
Main Authors:	Chang Li, Yong Ma, Xiaoguang Mei, Fan Fan, Jun Huang, Jiayi Ma
Format:	Article
Language:	English
Published:	MDPI AG 2017-11-01
Series:	Remote Sensing
Subjects:	alternative direction method of multipliers (ADMM) hyperspectral image (HSI) sparse unmixing method based on noise level estimation (SU-NLE)
Online Access:	https://www.mdpi.com/2072-4292/9/11/1166

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