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Coupling Model- and Data-Driven Methods for Remote Sensing Image Restoration and Fusion: Improving physical interpretability

  • Published:2022-06 Issue:2 Volume:10 Page:231-249
  • ISSN:2168-6831
  • Container-title:IEEE Geoscience and Remote Sensing Magazine
  • language:
  • Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Shen Huanfeng1,Jiang Menghui1,Li Jie2,Zhou Chenxia1,Yuan Qiangqiang2,Zhang Liangpei3

Affiliation:

1. School of Resource and Environmental Sciences (SRES), Wuhan University, Wuhan, China

2. School of Geodesy and Geomatics, Wuhan University, Wuhan, China

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

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Earth and Planetary Sciences,Instrumentation,General Computer Science
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