P3Net: Pansharpening via Pyramidal Detail Injection With Deep Physical Constraints
Author:
Affiliation:
1. Key Laboratory for Applied Statistics of MOE, School of Mathematics and Statistics, Northeast Normal University, Changchun, China
2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
Funder
National Key Research and Development Program of China
National Science Foundation of China
Science and Technology Development Plan of Jilin Province
Fundamental Research Funds for the Central Universities
Natural Science Foundation of Sichuan Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09918041.pdf?arnumber=9918041
Reference69 articles.
1. A Variational Pan-Sharpening With Local Gradient Constraints
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4. Remote sensing image fusion using the curvelet transform
5. Laplacian pyramid networks: A new approach for multispectral pansharpening
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3. Variational pansharpening based on high-pass injection fidelity with local dual-scale coefficient estimation;Journal of Applied Remote Sensing;2023-12-06
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