Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation
Exploration of multiple priors on observed signals has been demonstrated to be one of the effective ways for recovering underlying signals. In this paper, a new spectral difference-induced total variation and low-rank approximation (termed SDTVLA) method is proposed for hyperspectral mixed denoising...
Main Authors: | Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao, Byeungwoo Jeon |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
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Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/10/12/1956 |
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