Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images-Reference-Cited by-同舟云学术

Superpixel-Oriented Thick Cloud Removal Method for Multitemporal Remote Sensing Images

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:

Jiang Qin¹^ORCID,Zhao Xi-Le¹^ORCID,Lin Jie¹^ORCID,Yang Jing-Hua²^ORCID,Peng Jiangtao³^ORCID,Jiang Tai-Xiang⁴^ORCID

Affiliation:

1. School of Mathematical Sciences and the Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China

2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

3. Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China

4. School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China

Funder

NSFC

Sichuan Science and Technology Program

National Key Research and Development Program of China

Natural Science Foundation of Anhui Province

Natural Science Research Projects of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10364764.pdf?arnumber=10364764

Reference27 articles.

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4. Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising

5. Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging