DecRecNet: A Decoupling-Reconstruction Network for Restoring the Missing Information of Optical Remote Sensing Images-Reference-Cited by-同舟云学术

DecRecNet: A Decoupling-Reconstruction Network for Restoring the Missing Information of Optical Remote Sensing Images

Published:2023 Issue: Volume:16 Page:9777-9801
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Liu Weiling¹^ORCID,Cui Hao¹^ORCID,Jiang Yonghua²^ORCID,Zhang Guo¹^ORCID,Li Xinghua²^ORCID,Li Haifeng³^ORCID,Chen Yujia¹^ORCID,Yang Jun⁴^ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China

3. School of Geosciences and Info-Physics, Central South University, Changsha, China

4. Human Settlements Research Center, Liaoning Normal University, Dalian, China

Funder

National Natural Science Foundation of China

Chinese Universities Scientific Fund

Postdoctoral Innovation Talent Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference50 articles.

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