Remote Sensing Image Destriping by an <i>ℓ</i>₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior-Reference-Cited by-同舟云学术

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Remote Sensing Image Destriping by an ℓ₀-Based Nonconvex Model With Overlapping Group Sparse Hyper-Laplacian Prior

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Dou Hong-Xia¹^ORCID,Zhang Miao-Miao¹,Wen Rui²,Chen Yong³^ORCID,Liu Jun⁴^ORCID,Deng Liang-Jian²^ORCID

Affiliation:

1. School of Science, Xihua University, Chengdu, China

2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

3. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China

4. School of Mathematics and Statistics, Northeast Normal University, Changchun, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Jiangxi Province

Young Elite Scientists Sponsorship Program by Jiangxi Association for Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10530062.pdf?arnumber=10530062

Reference26 articles.

1. A New Separable Two-dimensional Finite Impulse Response Filter Design With Sparse Coefficients

2. Stripe Noise Reduction in MODIS Data by Combining Histogram Matching With Facet Filter

3. Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model

4. Simultaneous Destriping and Denoising for Remote Sensing Images With Unidirectional Total Variation and Sparse Representation

5. Group sparsity based regularization model for remote sensing image stripe noise removal

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