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Unsupervised coefficient learning framework for variational pansharpening

delete2025-09-29
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PRE
AI
J
Jin-Liang Xiao
T
Ting‐Zhu Huang
L
Liang-Jian Deng
H
H. B. Jiang
Q
Qibin Zhao
G
Gemine Vivone
DOI:10.1016/j.inffus.2025.103790delete
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Abstract

Abstract

En 中文
• An unsupervised coefficient learning (UCL) framework is introduced. • A new variational method is developed based on the UCL framework. • A full-resolution loss is proposed to constrain the output of the UCL framework.

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Information Fusion cover
Information Fusion
IF:
15.5
Papers:
4.1K
Citations:
2.7W

Organization

U
university of electronic science and technology of china
Scholars:
1.3W
Papers: 4.6K
Citations: 4
C
Center for Advanced Intelligence Project
Scholars:
2
Papers: 2
Citations: 0
I
Institute of Science Tokyo
Scholars:
3.2W
Papers: 2.7W
Citations: 117
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