Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satel...
Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satellite Multispectral Imagery
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Urban flooding is a major natural disaster that poses a serious threat to the urban environment. It is highly demanded that the flood extent can be mapped in near real-time for disaster rescue and relief missions, reconstruction efforts, and financial loss evaluation. Many efforts have been taken to identify the flooding zones with remote sensing d...
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Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satellite Multispectral Imagery
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TN_cdi_doaj_primary_oai_doaj_org_article_c3837b2849614ce9bbc221495180cec7
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c3837b2849614ce9bbc221495180cec7
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ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs11212492
