Datasets:
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
earth-observation
remote-sensing
disaster-response
artificial-intelligence
building-damage-mapping
DOI:
License:
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**Unsupervised multimodal image matching**
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BRIGHT supports the evaluation of Unsupervised Multimodal Image Matching (UMIM) algorithms for their performance in large-scale disaster scenarios. Please download data with the prefix "**umim**", such as **umim_noto_earthquake.zip**, and use our [code](https://github.com/ChenHongruixuan/BRIGHT) to test the exsiting algorithms' performance.
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**Paper & Reference**
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**Unsupervised multimodal image matching**
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* BRIGHT supports the evaluation of Unsupervised Multimodal Image Matching (UMIM) algorithms for their performance in large-scale disaster scenarios. Please download data with the prefix "**umim**", such as **umim_noto_earthquake.zip**, and use our [code](https://github.com/ChenHongruixuan/BRIGHT) to test the exsiting algorithms' performance.
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**Paper & Reference**
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