A self-supervised remote sensing image fusion framework with dual-stage self-learning and spectral super-resolution injection-Reference-Cited by-同舟云学术

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A self-supervised remote sensing image fusion framework with dual-stage self-learning and spectral super-resolution injection

Published:2023-10 Issue: Volume:204 Page:131-144
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

He Jiang^ORCID,Yuan Qiangqiang,Li Jie^ORCID,Xiao Yi,Zhang Liangpei

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference84 articles.

1. MTF-tailored multiscale fusion of high-resolution MS and pan imagery;Aiazzi;Photogramm. Eng. Remote Sens.,2006

2. Improving component substitution pansharpening through multivariate regression of MS + pan data;Aiazzi;IEEE Trans. Geosci. Remote Sens.,2007

3. Multispectral and panchromatic data fusion assessment without reference;Alparone;Photogramm. Eng. Remote Sens.,2008

4. A variational model for P+XS image fusion;Ballester;Int. J. Comput. Vis.,2006

5. The Laplacian pyramid as a compact image code;Burt,1987

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