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Reverse degradation for remote sensing pan-sharpening

delete2026-01-21
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AI
J
Jiang He
朱潇 封面图
朱潇 (Xiao Xiang Zhu) *
DOI：10.1016/j.jag.2026.105085delete
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摘要

摘要

En 中文
• Learning and reversing degradation for fusion via invertible neural networks. • Structural detail compensation enhances spatial feature representation. • Spatial–spectral contrastive learning improves alignment and fusion quality. • Interpretability efficacy coefficient quantifies model interpretability.
Keyword:
Pan-sharpening
Degradation model
Unsupervised fusion
Model interpretability
Self-learning
Contrastive learning
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期刊

International Journal of Applied Earth Observation and Geoinformation 封面图
International Journal of Applied Earth Observation and Geoinformation
IF:
8.6
论文数:
5.1K
被引数:
2.4W

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引用论文

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