{"id":"https://openalex.org/W4402260738","doi":"https://doi.org/10.1109/igarss53475.2024.10641026","title":"Overcoming the Uncertainty Challenges in Flood Rapid Mapping with SAR Data","display_name":"Overcoming the Uncertainty Challenges in Flood Rapid Mapping with SAR Data","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402260738","doi":"https://doi.org/10.1109/igarss53475.2024.10641026"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036072216","display_name":"He Huang","orcid":"https://orcid.org/0000-0001-5581-1423"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Huang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058720599","display_name":"Jiepan Li","orcid":"https://orcid.org/0000-0003-3971-8194"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiepan Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026761365","display_name":"Wei He","orcid":"https://orcid.org/0000-0001-9216-4501"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108106453","display_name":"Liangpei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan,China,430079","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"767","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.6420735716819763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6362020969390869},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5815024375915527},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5053561329841614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34813421964645386},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3248063325881958},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2336423397064209},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18180504441261292},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1489609181880951}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6420735716819763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6362020969390869},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5815024375915527},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5053561329841614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34813421964645386},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3248063325881958},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2336423397064209},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18180504441261292},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1489609181880951},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss53475.2024.10641026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2768282280","https://openalex.org/W2916798096","https://openalex.org/W3090929676","https://openalex.org/W3131500599","https://openalex.org/W3175515048","https://openalex.org/W3211490618","https://openalex.org/W4293584134","https://openalex.org/W4388095264","https://openalex.org/W4391454392","https://openalex.org/W6746052068"],"related_works":["https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W3020755331","https://openalex.org/W2593813247","https://openalex.org/W4386724243","https://openalex.org/W4388268408","https://openalex.org/W4387816319","https://openalex.org/W2016618709","https://openalex.org/W4380088563","https://openalex.org/W4252699458"],"abstract_inverted_index":{"The":[0,52],"escalating":[1],"intensity":[2],"and":[3,24,35,46,78,92,164,181,216,249],"frequency":[4],"of":[5,21,88,158,161,199,255],"floods,":[6],"exacerbated":[7],"by":[8],"global":[9],"climate":[10],"change,":[11],"emphasize":[12],"the":[13,18,48,86,104,110,127,143,155,162,192,223,236,240,258],"urgent":[14],"need":[15],"to":[16,33,43,75,131,153,203,221],"address":[17],"growing":[19],"risks":[20],"floods.":[22],"Rapid":[23],"precise":[25],"flood":[26,44,77,134,225],"detection":[27],"is":[28,61],"paramount":[29],"for":[30],"efficiently":[31],"responding":[32],"emergencies":[34],"executing":[36],"disaster":[37],"relief":[38],"measures,":[39],"enabling":[40,177],"swift":[41],"reactions":[42],"disasters":[45],"minimizing":[47],"losses":[49],"incurred":[50],"thus.":[51],"2024":[53,241],"IEEE":[54,242],"GRSS":[55,243],"Data":[56,244],"Fusion":[57,97,175,245],"Contest":[58,246],"Track":[59,247],"1":[60,248],"centered":[62],"on":[63,103,257],"leveraging":[64,142],"multi-source":[65],"remote":[66],"sensing":[67],"data,":[68,74],"particularly":[69],"synthetic":[70],"aperture":[71],"radar":[72],"(SAR)":[73],"classify":[76],"non-flood":[79],"areas.":[80],"In":[81],"this":[82,169],"contest,":[83],"we":[84,101,120,147,195,208],"acknowledge":[85],"significance":[87],"managing":[89],"uncertain":[90,144],"predictions":[91],"present":[93],"an":[94,149,251],"efficient":[95],"Uncertainty-Aware":[96,174],"Network":[98],"(UAFNet).":[99],"Specifically,":[100],"build":[102],"traditional":[105],"encoder-decoder":[106],"architecture,":[107],"initially":[108],"employing":[109],"pyramid":[111,129],"visual":[112],"transformer":[113],"(PVT)":[114],"as":[115,201],"a":[116,122,133,184],"feature":[117,128,179],"extractor.":[118],"Subsequently,":[119],"apply":[121],"typical":[123],"decoding":[124],"strategy,":[125,219],"namely":[126],"network,":[130],"obtain":[132],"extraction":[135,145,186,226],"map":[136,187],"with":[137,171,188,212],"relatively":[138],"high":[139],"uncertainty.":[140,190],"Furthermore,":[141],"map,":[146],"introduce":[148],"Uncertainty":[150],"Rank":[151],"Algorithm":[152],"quantify":[154],"uncertainty":[156],"level":[157],"each":[159],"pixel":[160],"foreground":[163],"background.":[165],"We":[166],"seamlessly":[167],"integrate":[168],"algorithm":[170],"our":[172,210],"proposed":[173,193],"Module,":[176],"level-by-level":[178],"refinement":[180],"ultimately":[182],"yielding":[183],"refined":[185],"minimal":[189],"Employing":[191],"UAFNet,":[194],"utilize":[196],"diverse":[197],"versions":[198],"PVT":[200],"encoders":[202],"train":[204],"multiple":[205],"UAFNets.":[206],"Additionally,":[207],"enhance":[209,222],"approach":[211],"online":[213],"testing":[214],"augmentation":[215],"multi-model":[217],"fusion":[218],"aiming":[220],"final":[224],"accuracy.":[227],"Our":[228],"technical":[229],"solution":[230],"has":[231],"exhibited":[232],"outstanding":[233],"performance,":[234],"earning":[235],"first-place":[237],"ranking":[238],"in":[239],"achieving":[250],"impressive":[252],"F1":[253],"score":[254],"82.985%":[256],"official":[259],"test":[260],"set.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}