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ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

appsOther research productkeyboard_double_arrow_right Model 20 Jun 2024Publisher:Zenodo

Authors: Chen, Hongruixuan; Song, Jian; Han, Chengxi; Xia, Junshi; Yokoya, Naoto;

doi: 10.5281/zenodo.15479555 , 10.5281/zenodo.14037770 , 10.5281/zenodo.14037769

ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

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Abstract

Checkpoints and prediction results of ChangeMamba ChangeMamba serves as a strong benchmark for change detection tasks, including binary change detection (MambaBCD), semantic change detection (MambaSCD), and building damage assessment (MambaBDA). For more details, please refer to our paper and visit our GitHub repo. Citation If you find ChangeMamba useful in your research, please kindly consider citing: @ARTICLE{Chen2024ChangeMamba, author={Chen, Hongruixuan and Song, Jian and Han, Chengxi and Xia, Junshi and Yokoya, Naoto}, journal={IEEE Transactions on Geoscience and Remote Sensing}, title={ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model}, year={2024}, volume={62}, number={}, pages={1-20}, doi={10.1109/TGRS.2024.3417253} }

Related Organizations

University of Tokyo
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Wuhan University
China (People's Republic of)
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