Vision Transformer for Pansharpening
Xiangchao Meng, Nan Wang, Feng Shao et al.
2022 · IEEE Transactions on Geoscience and Remote Sensing · 120 citations
Pansharpening is a fundamental and hot-spot research topic in remote sensing image fusion. In recent years, self-attention-based transformer has attracted considerable attention in natural language processing (NLP) and introduced to attend to computer vision (CV) tasks. Inspired by great success of the vision transformer (ViT) in image classification, we propose an improved and advanced purely transformer-based model for pansharpening. In the proposed method, stacked multispectral (MS) and panchromatic (PAN) images are cropped into patches (i.e., tokens), and after a three-layer self-attentio…
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