Datasets:
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
earth-observation
remote-sensing
disaster-response
artificial-intelligence
building-damage-mapping
DOI:
License:
Update README.md
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README.md
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@@ -47,16 +47,19 @@ pretty_name: Bright
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**Paper & Reference**
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Details of BRIGHT can be refer to our [paper](https://
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If BRIGHT is useful to research, please kindly consider cite our paper
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```
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**Paper & Reference**
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Details of BRIGHT can be refer to our [paper](https://essd.copernicus.org/articles/17/6217/2025/essd-17-6217-2025.html).
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If BRIGHT is useful to research, please kindly consider cite our paper
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```
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@Article{Chen2025Bright,
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AUTHOR = {Chen, H. and Song, J. and Dietrich, O. and Broni-Bediako, C. and Xuan, W. and Wang, J. and Shao, X. and Wei, Y. and Xia, J. and Lan, C. and Schindler, K. and Yokoya, N.},
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TITLE = {\textsc{Bright}: a globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response},
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JOURNAL = {Earth System Science Data},
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VOLUME = {17},
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YEAR = {2025},
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NUMBER = {11},
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PAGES = {6217--6253},
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DOI = {10.5194/essd-17-6217-2025}
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}
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```
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