{"id":"https://openalex.org/W4401453317","doi":"https://doi.org/10.1109/jstars.2024.3440995","title":"WaterDetectionNet: A New Deep Learning Method for Flood Mapping With SAR Image Convolutional Neural Network","display_name":"WaterDetectionNet: A New Deep Learning Method for Flood Mapping With SAR Image Convolutional Neural Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401453317","doi":"https://doi.org/10.1109/jstars.2024.3440995"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2024.3440995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3440995","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2024.3440995","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107808272","display_name":"Binbin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Huang","raw_affiliation_strings":["Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0001-2075-2619","affiliations":[{"raw_affiliation_string":"Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432660","display_name":"Peng Li","orcid":"https://orcid.org/0000-0002-0707-4999"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0002-0707-4999","affiliations":[{"raw_affiliation_string":"Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107808522","display_name":"Hongyuan Lu","orcid":"https://orcid.org/0009-0006-0824-1134"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyuan Lu","raw_affiliation_strings":["Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0006-0824-1134","affiliations":[{"raw_affiliation_string":"Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107808445","display_name":"Jiamin Yin","orcid":"https://orcid.org/0009-0009-7298-0099"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Yin","raw_affiliation_strings":["Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0009-0009-7298-0099","affiliations":[{"raw_affiliation_string":"Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007427445","display_name":"Zhenhong Li","orcid":"https://orcid.org/0000-0002-8054-7449"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenhong Li","raw_affiliation_strings":["College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8054-7449","affiliations":[{"raw_affiliation_string":"College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058097701","display_name":"Houjie Wang","orcid":"https://orcid.org/0000-0001-6409-0592"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houjie Wang","raw_affiliation_strings":["Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0001-6409-0592","affiliations":[{"raw_affiliation_string":"Institute of Estuarine and Coastal Zone, College of Marine Geosciences, Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":7.4677,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.98064082,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"17","issue":null,"first_page":"14471","last_page":"14485"},"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":0.9850000143051147,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/computer-science","display_name":"Computer science","score":0.7962943315505981},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7653579711914062},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6776467561721802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6727912425994873},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.5383847951889038},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.4759095311164856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4174080789089203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4059743881225586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38349631428718567},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3542419672012329},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14190003275871277}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962943315505981},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7653579711914062},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6776467561721802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6727912425994873},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.5383847951889038},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4759095311164856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4174080789089203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4059743881225586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38349631428718567},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3542419672012329},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14190003275871277},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2024.3440995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3440995","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98fa659d57684ef8a3cae0c60e4a8a41","is_oa":true,"landing_page_url":"https://doaj.org/article/98fa659d57684ef8a3cae0c60e4a8a41","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14471-14485 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2024.3440995","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2024.3440995","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G7425773355","display_name":null,"funder_award_id":"42041005-4","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1969758979","https://openalex.org/W2002439913","https://openalex.org/W2059393271","https://openalex.org/W2140624467","https://openalex.org/W2148792070","https://openalex.org/W2395611524","https://openalex.org/W2508668013","https://openalex.org/W2551397753","https://openalex.org/W2768705966","https://openalex.org/W2787091153","https://openalex.org/W2793141496","https://openalex.org/W2884436604","https://openalex.org/W2901508448","https://openalex.org/W2909750377","https://openalex.org/W2984432579","https://openalex.org/W3013403839","https://openalex.org/W3020914556","https://openalex.org/W3048034423","https://openalex.org/W3091923529","https://openalex.org/W3097243506","https://openalex.org/W3131827757","https://openalex.org/W3190581971","https://openalex.org/W3210613462","https://openalex.org/W4376132752","https://openalex.org/W4386713465","https://openalex.org/W4387332415","https://openalex.org/W4390421988"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W4391621807","https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W3020755331","https://openalex.org/W2593813247","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":{"Floods":[0],"are":[1,51],"among":[2],"the":[3,15,35,62,107,111,120,132,154,159,166,171,182,192,217],"world's":[4],"worst":[5],"natural":[6],"disasters,":[7],"causing":[8],"significant":[9],"damage":[10],"to":[11,54,105,118,145,206,211],"people,":[12],"infrastructure,":[13],"and":[14,27,33,42,58,88,136,148,151,162,188,199,223],"economy.":[16],"Since":[17],"synthetic":[18],"aperture":[19],"radar":[20],"(SAR)":[21],"can":[22],"work":[23],"in":[24,175],"all":[25],"weather":[26],"is":[28,204],"not":[29],"affected":[30],"by":[31],"clouds":[32],"rain,":[34],"use":[36],"of":[37,64,110,165,170,191,219],"SAR":[38,49,84,121],"for":[39,99,227],"flood":[40,101,174,214,220],"mapping":[41],"disaster":[43,221],"assessment":[44],"has":[45,93],"obvious":[46],"advantages.":[47],"However,":[48],"images":[50,87],"highly":[52],"susceptible":[53],"speckle":[55],"noise,":[56],"shadows,":[57],"distortions,":[59],"which":[60,92,157],"affects":[61],"accuracy":[63,164],"traditional":[65,133],"water":[66,96],"body":[67],"extraction":[68,97,163],"methods.":[69],"To":[70],"solve":[71],"this":[72],"problem,":[73],"we":[74,113,140],"designed":[75],"a":[76,94,115,142,208,225],"new":[77],"model":[78,160,194],"called":[79],"WaterDetectionNet":[80],"(WDNet)":[81],"based":[82],"on":[83],"remote":[85],"sensing":[86],"convolutional":[89],"neural":[90],"network,":[91],"strong":[95],"capability":[98],"accurate":[100],"mapping.":[102],"In":[103],"order":[104],"improve":[106,216],"generalization":[108],"ability":[109],"model,":[112],"used":[114],"semiautomatic":[116],"strategy":[117],"generate":[119],"dataset":[122],"S1Water":[123],"containing":[124],"rich":[125],"semantic":[126],"information":[127],"with":[128,131],"diversity.":[129],"Compared":[130],"machine":[134],"learning":[135,138],"deep":[137],"methods,":[139],"introduced":[141],"self-attention":[143],"module":[144],"increase":[146],"spatial":[147],"channel":[149],"attention,":[150],"adaptively":[152],"update":[153],"network":[155],"weights,":[156],"improved":[158],"performance":[161],"real":[167],"case":[168],"study":[169],"Poyang":[172],"Lake":[173],"2020.":[176],"The":[177],"experimental":[178],"results":[179],"show":[180],"that":[181],"accuracy,":[183],"recall,":[184],"intersection":[185],"over":[186],"union,":[187],"F1":[189],"score":[190],"WDNet":[193],"were":[195],"0.986,":[196],"0.994,":[197],"0.974,":[198],"0.987,":[200],"respectively.":[201],"This":[202],"method":[203],"expected":[205],"provide":[207],"cost-effective":[209],"alternative":[210],"global":[212],"rapid":[213],"mapping,":[215],"reliability":[218],"analysis,":[222],"offer":[224],"reference":[226],"postdisaster":[228],"emergency":[229],"management.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}