Remote Sensing Image Fusion With Task-Inspired Multiscale Nonlocal-Attention Network-Reference-Cited by-同舟云学术

Remote Sensing Image Fusion With Task-Inspired Multiscale Nonlocal-Attention Network

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Liu Na¹^ORCID,Li Wei¹^ORCID,Sun Xian²,Tao Ran¹^ORCID,Chanussot Jocelyn³^ORCID

Affiliation:

1. School of Information and Electronics and the Beijing Key Laboratory of Fractional Signals and Systems, Beijing Institute of Technology, Beijing, China

2. Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. LJK, University of Grenoble Alpes, INRIA, CNRS, Grenoble INP, Grenoble, France

Funder

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10064039.pdf?arnumber=10064039

Reference26 articles.

1. Mutual-Feed Learning for Super-Resolution and Object Detection in Degraded Aerial Imagery