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2026

Content-Aware Degradation Modeling for Supervised Remote Sensing Pansharpening

Pansharpening aims to reconstruct a high-resolution multispectral (HRMS) image by fusing a low-resolution multispectral image with a high-resolution panchromatic image. Most supervised pansharpening methods rely on Wald’s protocol to construct training pairs, where fixed modulation transfer function (MTF)-based degrada...

Qiu Yi, Yue Que, Jie You et al. · 0 citations
Open access 2026

Frequency-Aware Prompt Learning for Remote Sensing Image Super-Resolution

A frequency-aware transformer module is designed to leverage the fast Fourier transform for explicit high-frequency component restoration, thereby overcoming the frequency bias inherent in spatial-domain models and effectively recovering intricate structural details.

Kangli Zeng, Hang Hu, Ying Yu et al. · 0 citations

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