Multiscale Dual-Domain Guidance Network for Pan-Sharpening-Reference-Cited by-同舟云学术

Multiscale Dual-Domain Guidance Network for Pan-Sharpening

Published:2023 Issue: Volume:61 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

He Xuanhua¹^ORCID,Yan Keyu¹^ORCID,Zhang Jie²^ORCID,Li Rui²^ORCID,Xie Chengjun²^ORCID,Zhou Man³^ORCID,Hong Danfeng⁴^ORCID

Affiliation:

1. Institute of Intelligent Machines and the Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

2. Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, and the Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China

3. S-Lab, Nanyang Technological University, Jurong West, Singapore

4. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10119207.pdf?arnumber=10119207

Reference62 articles.

1. SDPNet: A Deep Network for Pan-Sharpening With Enhanced Information Representation

2. Invertible residual networks;behrmann;Proc ICML,2019

3. A dual-path fusion network for pan-sharpening;wang;IEEE Trans Geosci Remote Sens,2021

4. Invertible Denoising Network: A Light Solution for Real Noise Removal

5. Two Stages Pan-Sharpening Details Injection Approach Based on Very Deep Residual Networks

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