MSTDSNet-CD: Multiscale Swin Transformer and Deeply Supervised Network for Change Detection of the Fast-Growing Urban Regions
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DOI: 10.1109/lgrs.2022.3165885
Abstract: Deep learning algorithms have recently provided new ideas for various change detection (CD) tasks, which have yielded promising results. However, accurately identifying urban land cover and land use (LCLU) changes remains challenging in the very… read more here.
Keywords: multiscale swin; change detection; deeply supervised; supervised network ... See more keywords