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The document presents Pan-Mamba, a novel pan-sharpening network that utilizes the Mamba model to efficiently integrate low-resolution multi-spectral and high-resolution panchromatic images. It introduces two key components, channel swapping Mamba and cross-modal Mamba, to enhance cross-modal information exchange and fusion, achieving superior results compared to existing methods. This work marks the first application of the Mamba model in pan-sharpening, demonstrating its potential for improved image fusion

Author

zqguo5552

Language

EN