Swin–MRDB: Pan-Sharpening Model Based on the Swin Transformer and Multi-Scale CNN
Zifan Rong,
Xuesong Jiang,
Linfeng Huang
et al.
Abstract:Pan-sharpening aims to create high-resolution spectrum images by fusing low-resolution hyperspectral (HS) images with high-resolution panchromatic (PAN) images. Inspired by the Swin transformer used in image classification tasks, this research constructs a three-stream pan-sharpening network based on the Swin transformer and a multi-scale feature extraction module. Unlike the traditional convolutional neural network (CNN) pan-sharpening model, we use the Swin transformer to establish global connections with th… Show more
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