AI RESEARCH
Euler-inspired Decoupling Neural Operator for Efficient Pansharpening
arXiv CS.AI
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ArXi:2604.12463v1 Announce Type: cross Pansharpening aims to synthesize high-resolution multispectral (HR-MS) images by fusing the spatial textures of panchromatic (PAN) images with the spectral information of low-resolution multispectral (LR-MS) images. While recent deep learning paradigms, especially diffusion-based operators, have pushed the performance boundaries, they often encounter spectral-spatial blurring and prohibitive computational costs due to their stochastic nature and iterative sampling.