April 30, 2024, 4:46 a.m. | Mirza Tanzim Sami, Da Yan, Saugat Adhikari, Lyuheng Yuan, Jiao Han, Zhe Jiang, Jalal Khalil, Yang Zhou

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.17917v1 Announce Type: new
Abstract: Accurate and timely mapping of flood extent from high-resolution satellite imagery plays a crucial role in disaster management such as damage assessment and relief activities. However, current state-of-the-art solutions are based on U-Net, which can-not segment the flood pixels accurately due to the ambiguous pixels (e.g., tree canopies, clouds) that prevent a direct judgement from only the spectral features. Thanks to the digital elevation model (DEM) data readily available from sources such as United States …

abstract art arxiv assessment cs.cv current disaster disaster management earth eess.iv flood however management mapping pixels resolution role satellite segment solutions state tree type

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