{"id":"https://openalex.org/W4387587554","doi":"https://doi.org/10.1109/tgrs.2023.3324066","title":"Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images","display_name":"Combining Time-Series Variation Modeling and Fuzzy Spatiotemporal Feature Fusion: A Novel Approach for Unsupervised Flood Mapping Using Dual-Polarized Sentinel-1 SAR Images","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387587554","doi":"https://doi.org/10.1109/tgrs.2023.3324066"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3324066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324066","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5103257469","display_name":"Congyu Li","orcid":"https://orcid.org/0000-0002-4634-0671"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congyu Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4634-0671","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103137267","display_name":"Jiaqi Liu","orcid":"https://orcid.org/0000-0003-2149-2924"},"institutions":[{"id":"https://openalex.org/I4210099297","display_name":"Jilian Technology Group (China)","ror":"https://ror.org/016q5ce10","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099297"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Liu","raw_affiliation_strings":["Chang Guang Satellite Technology Company Ltd., Changchun, China","Chang Guang Satellite Technology CO.LTD, Changchun, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0003-2149-2924","affiliations":[{"raw_affiliation_string":"Chang Guang Satellite Technology Company Ltd., Changchun, China","institution_ids":[]},{"raw_affiliation_string":"Chang Guang Satellite Technology CO.LTD, Changchun, Jilin, China","institution_ids":["https://openalex.org/I4210099297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379556","display_name":"Xinxin Liu","orcid":"https://orcid.org/0000-0003-2739-2334"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2739-2334","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["School of Robotics, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3807-2531","affiliations":[{"raw_affiliation_string":"School of Robotics, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Changsha, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6627,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.83158023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"15"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.984000027179718,"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"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9810000061988831,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.7867511510848999},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.705981433391571},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.60678631067276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5289442539215088},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.41362473368644714},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3977739214897156},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3736751675605774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30468377470970154},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25542744994163513},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14406758546829224}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.7867511510848999},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.705981433391571},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.60678631067276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5289442539215088},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.41362473368644714},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3977739214897156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3736751675605774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30468377470970154},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25542744994163513},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14406758546829224},{"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/tgrs.2023.3324066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3324066","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.699999988079071,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1085509035","display_name":null,"funder_award_id":"62221002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3579516633","display_name":null,"funder_award_id":"2021YFA0715203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G449486069","display_name":null,"funder_award_id":"61901166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6996286397","display_name":null,"funder_award_id":"2022JJ40054","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W63343569","https://openalex.org/W1964069486","https://openalex.org/W1969758979","https://openalex.org/W1981546716","https://openalex.org/W1982188349","https://openalex.org/W1993345130","https://openalex.org/W2005461329","https://openalex.org/W2027091505","https://openalex.org/W2034073840","https://openalex.org/W2044211744","https://openalex.org/W2077509829","https://openalex.org/W2112188849","https://openalex.org/W2113076747","https://openalex.org/W2126895410","https://openalex.org/W2133059825","https://openalex.org/W2136132422","https://openalex.org/W2140405352","https://openalex.org/W2146247239","https://openalex.org/W2153233077","https://openalex.org/W2159432279","https://openalex.org/W2170589321","https://openalex.org/W2172147072","https://openalex.org/W2292718396","https://openalex.org/W2331334720","https://openalex.org/W2331442344","https://openalex.org/W2343675796","https://openalex.org/W2462089918","https://openalex.org/W2604199742","https://openalex.org/W2617871966","https://openalex.org/W2751895300","https://openalex.org/W2769757457","https://openalex.org/W2772098461","https://openalex.org/W2790399144","https://openalex.org/W2793014151","https://openalex.org/W2802104420","https://openalex.org/W2804458818","https://openalex.org/W2808098982","https://openalex.org/W2808945524","https://openalex.org/W2885158046","https://openalex.org/W2901919361","https://openalex.org/W2904896122","https://openalex.org/W2905621769","https://openalex.org/W2920254659","https://openalex.org/W2936361621","https://openalex.org/W2942454403","https://openalex.org/W2989014883","https://openalex.org/W2995133354","https://openalex.org/W3003923526","https://openalex.org/W3008489662","https://openalex.org/W3038008518","https://openalex.org/W3038494602","https://openalex.org/W3105357426","https://openalex.org/W3176462777","https://openalex.org/W3177480462","https://openalex.org/W3183048323","https://openalex.org/W3196492143","https://openalex.org/W4200217666","https://openalex.org/W4285176380","https://openalex.org/W6798385142"],"related_works":["https://openalex.org/W3020755331","https://openalex.org/W2394377911","https://openalex.org/W63519562","https://openalex.org/W4388268408","https://openalex.org/W4387816319","https://openalex.org/W4380088563","https://openalex.org/W2016618709","https://openalex.org/W4220728969","https://openalex.org/W2352096750","https://openalex.org/W4252699458"],"abstract_inverted_index":{"Due":[0],"to":[1,54,114,164],"the":[2,7,33,62,77,147,177],"impact":[3],"of":[4,9,42,68,79,122,151,198,206],"climate":[5],"change,":[6],"frequency":[8],"flood":[10,27,59,69,88,123,134,140,166,182,188,218],"events":[11],"has":[12],"increased":[13],"in":[14,82,92,169,183,196],"recent":[15],"years,":[16],"which":[17],"puts":[18],"forward":[19],"an":[20,132],"urgent":[21],"need":[22],"for":[23,29],"timely":[24],"and":[25,65,119,162,191,201,225,233,240],"accurate":[26,66],"mapping":[28,135,167,189,219],"emergency":[30],"response.":[31],"As":[32],"synthetic":[34],"aperture":[35],"radar":[36],"(SAR)":[37],"enables":[38],"all-time":[39],"monitoring":[40],"regardless":[41],"bad":[43],"weather":[44],"conditions,":[45],"it":[46],"fits":[47],"far":[48],"better":[49],"than":[50],"passive":[51],"optical":[52],"sensors":[53],"delineate":[55],"submerged":[56],"areas":[57],"during":[58],"events.":[60],"However,":[61],"universal,":[63],"rapid,":[64],"detection":[67],"extent":[70],"remains":[71],"a":[72,93,99,104,154],"challenge.":[73],"Drawing":[74],"inspiration":[75],"from":[76,221],"analysis":[78],"time-series":[80],"variation":[81,107],"representative":[83],"ground":[84],"objects":[85],"caused":[86],"by":[87,143],"events,":[89],"as":[90],"observed":[91],"dual-polarized":[94],"SAR":[95],"time":[96],"series":[97],"over":[98],"hydrological":[100],"year,":[101],"we":[102,130],"construct":[103],"novel":[105],"window-based":[106],"model.":[108],"This":[109],"model":[110,159],"can":[111],"be":[112],"used":[113],"capture":[115],"both":[116],"long-term":[117],"trends":[118],"short-term":[120],"fluctuations":[121],"features":[124,141],"across":[125],"different":[126,231],"polarization":[127],"modes.":[128],"Subsequently,":[129],"introduce":[131],"unsupervised":[133,187],"framework":[136,209],"that":[137],"integrates":[138],"spatiotemporal":[139],"extracted":[142],"fuzzy-based":[144],"methods.":[145],"Given":[146],"distinct":[148],"backscatter":[149],"value":[150],"short":[152,156],"vegetation,":[153],"flooded":[155],"vegetation":[157],"activation":[158],"is":[160,210],"designed":[161],"performed":[163],"enhance":[165],"accuracy":[168],"complex":[170],"regions.":[171],"The":[172,204],"proposed":[173,208],"method,":[174],"tested":[175,211],"on":[176,228],"2020":[178],"East":[179],"Dongting":[180],"Lake":[181],"China,":[184],"surpasses":[185],"three":[186],"methods":[190,195],"two":[192],"deep":[193],"learning":[194],"terms":[197],"quantitative":[199],"evaluation":[200],"visual":[202],"performance.":[203],"uncertainty":[205],"our":[207],"through":[212],"parameter":[213],"sensitivity":[214],"analyses,":[215],"comparisons":[216],"with":[217],"results":[220],"other":[222],"sensor":[223],"images,":[224],"extensive":[226],"experiments":[227],"floods":[229],"at":[230],"locations":[232],"times,":[234],"thereby":[235],"demonstrating":[236],"its":[237],"effectiveness,":[238],"stability,":[239],"universality.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
