{"id":"https://openalex.org/W4221094180","doi":"https://doi.org/10.1155/2022/2887502","title":"Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model","display_name":"Fusion of the Multisource Datasets for Flood Extent Mapping Based on Ensemble Convolutional Neural Network (CNN) Model","publication_year":2022,"publication_date":"2022-03-19","ids":{"openalex":"https://openalex.org/W4221094180","doi":"https://doi.org/10.1155/2022/2887502"},"language":"en","primary_location":{"id":"doi:10.1155/2022/2887502","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2887502","pdf_url":"https://downloads.hindawi.com/journals/js/2022/2887502.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/js/2022/2887502.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018156889","display_name":"Seyd Teymoor Seydi","orcid":"https://orcid.org/0000-0002-3678-4877"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Seyd Teymoor Seydi","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 14174-66191, Iran"],"raw_orcid":"https://orcid.org/0000-0002-3678-4877","affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran 14174-66191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021436435","display_name":"Vahideh Saeidi","orcid":"https://orcid.org/0000-0001-9602-547X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vahideh Saeidi","raw_affiliation_strings":["Department of Mapping and Surveying, Darya Tarsim Consulting Engineers Co. Ltd., Tehran 15119-43943, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9602-547X","affiliations":[{"raw_affiliation_string":"Department of Mapping and Surveying, Darya Tarsim Consulting Engineers Co. Ltd., Tehran 15119-43943, Iran","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055002169","display_name":"Bahareh Kalantar","orcid":"https://orcid.org/0000-0002-2822-3463"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Bahareh Kalantar","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan"],"raw_orcid":"https://orcid.org/0000-0002-2822-3463","affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105268757","display_name":"Naonori Ueda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naonori Ueda","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Goal-Oriented Technology Research Group, Disaster Resilience Science Team, Tokyo 103-0027, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054109049","display_name":"J.L. van Genderen","orcid":"https://orcid.org/0000-0002-8900-4774"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. L. van Genderen","raw_affiliation_strings":["Department of Earth Observation Science, Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Earth Observation Science, Faculty of Geoinformation Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024283122","display_name":"Fattah Hatami Maskouni","orcid":"https://orcid.org/0000-0003-0121-6498"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Fattah Hatami Maskouni","raw_affiliation_strings":["Department of Geography, University of Tehran, Tehran 14174-66191, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Tehran, Tehran 14174-66191, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016290210","display_name":"Farzad Amini Aria","orcid":"https://orcid.org/0000-0002-6369-2097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farzad Amini Aria","raw_affiliation_strings":["Department of Mapping and Surveying, Tahlil Naghsheh Niyan Consulting Engineers Co. Ltd., Tehran 1353-913169, Iran"],"raw_orcid":"https://orcid.org/0000-0002-6369-2097","affiliations":[{"raw_affiliation_string":"Department of Mapping and Surveying, Tahlil Naghsheh Niyan Consulting Engineers Co. Ltd., Tehran 1353-913169, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5055002169"],"corresponding_institution_ids":["https://openalex.org/I4210126580"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.6998,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.82960318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":1.0,"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":1.0,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9776999950408936,"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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9763000011444092,"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":0.7245254516601562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7013458013534546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927339434623718},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5014870166778564},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.47095876932144165},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.45559290051460266},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.44860154390335083},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44484055042266846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42526277899742126},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4146694540977478},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3328790068626404},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3004646897315979},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20899644494056702},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0826597809791565}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.7245254516601562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7013458013534546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927339434623718},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5014870166778564},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.47095876932144165},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.45559290051460266},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.44860154390335083},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44484055042266846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42526277899742126},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4146694540977478},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3328790068626404},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3004646897315979},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20899644494056702},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0826597809791565},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2022/2887502","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2887502","pdf_url":"https://downloads.hindawi.com/journals/js/2022/2887502.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2022/2887502","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/2887502","pdf_url":"https://downloads.hindawi.com/journals/js/2022/2887502.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4221094180.pdf","grobid_xml":"https://content.openalex.org/works/W4221094180.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W788877107","https://openalex.org/W1522301498","https://openalex.org/W1953564862","https://openalex.org/W1989933653","https://openalex.org/W2059235153","https://openalex.org/W2121885753","https://openalex.org/W2151514073","https://openalex.org/W2214653699","https://openalex.org/W2239022495","https://openalex.org/W2303172903","https://openalex.org/W2306911968","https://openalex.org/W2400138547","https://openalex.org/W2572303978","https://openalex.org/W2595673356","https://openalex.org/W2601965012","https://openalex.org/W2603017680","https://openalex.org/W2623412144","https://openalex.org/W2625704744","https://openalex.org/W2626024749","https://openalex.org/W2753949619","https://openalex.org/W2768621260","https://openalex.org/W2768649918","https://openalex.org/W2774253439","https://openalex.org/W2790505609","https://openalex.org/W2793014151","https://openalex.org/W2794203054","https://openalex.org/W2891234263","https://openalex.org/W2899869235","https://openalex.org/W2900703066","https://openalex.org/W2908753233","https://openalex.org/W2912466506","https://openalex.org/W2912717711","https://openalex.org/W2924082650","https://openalex.org/W2942173665","https://openalex.org/W2947253871","https://openalex.org/W2950015081","https://openalex.org/W2950123062","https://openalex.org/W2952411786","https://openalex.org/W2956021635","https://openalex.org/W2965129091","https://openalex.org/W2973910146","https://openalex.org/W2975372759","https://openalex.org/W2978821666","https://openalex.org/W2979717888","https://openalex.org/W2981210218","https://openalex.org/W2981309558","https://openalex.org/W2983613247","https://openalex.org/W2990041843","https://openalex.org/W2990251052","https://openalex.org/W3004968762","https://openalex.org/W3007092243","https://openalex.org/W3014160807","https://openalex.org/W3027409855","https://openalex.org/W3037587714","https://openalex.org/W3038371767","https://openalex.org/W3039917573","https://openalex.org/W3043791300","https://openalex.org/W3045270154","https://openalex.org/W3047373789","https://openalex.org/W3049556227","https://openalex.org/W3080110180","https://openalex.org/W3082077183","https://openalex.org/W3086734145","https://openalex.org/W3086759920","https://openalex.org/W3088698272","https://openalex.org/W3089450095","https://openalex.org/W3096444215","https://openalex.org/W3098226276","https://openalex.org/W3105997607","https://openalex.org/W3106488531","https://openalex.org/W3112734145","https://openalex.org/W3114891345","https://openalex.org/W3119886183","https://openalex.org/W3121242474","https://openalex.org/W3126682962","https://openalex.org/W3129440727","https://openalex.org/W3131698338","https://openalex.org/W3133503492","https://openalex.org/W3134288238","https://openalex.org/W3137277861","https://openalex.org/W3138000966","https://openalex.org/W3140841781","https://openalex.org/W3141947287","https://openalex.org/W3158775384","https://openalex.org/W3159577009","https://openalex.org/W3161960687","https://openalex.org/W3164328455","https://openalex.org/W3168833197","https://openalex.org/W3173816678","https://openalex.org/W3177280600","https://openalex.org/W3180938808","https://openalex.org/W3181899028","https://openalex.org/W3184654054","https://openalex.org/W3186319217","https://openalex.org/W3189388292","https://openalex.org/W3193682756","https://openalex.org/W3200033413","https://openalex.org/W4206192381","https://openalex.org/W4206607081","https://openalex.org/W4210455027","https://openalex.org/W4213193982","https://openalex.org/W4235513494","https://openalex.org/W6631190155","https://openalex.org/W6762818822"],"related_works":["https://openalex.org/W2949189996","https://openalex.org/W4312417841","https://openalex.org/W3200060857","https://openalex.org/W3006085271","https://openalex.org/W2973668406","https://openalex.org/W2391959412","https://openalex.org/W2767651786","https://openalex.org/W1964120219","https://openalex.org/W2912288872","https://openalex.org/W2380927352"],"abstract_inverted_index":{"Floods,":[0],"as":[1],"one":[2],"of":[3,36,41,164,188],"the":[4,9,12,32,37,68,110,118,130,143,160,165,170,186,189],"natural":[5],"hazards,":[6],"can":[7],"affect":[8],"environment,":[10],"damage":[11],"infrastructures,":[13],"and":[14,22,74,81,101,112,135,156,162,196],"threaten":[15],"human":[16],"lives.":[17],"Due":[18],"to":[19,168],"climate":[20],"change":[21],"anthropogenic":[23],"activities,":[24],"floods":[25],"occur":[26],"in":[27,44,85,133,150,181],"high":[28,148],"frequency":[29],"all":[30],"over":[31],"world.":[33],"Therefore,":[34],"mapping":[35,56,78,129],"flood":[38,54,79,114,151,171],"areas":[39,132,172],"is":[40,83],"prime":[42],"importance":[43],"disaster":[45],"management.":[46],"This":[47,121],"research":[48,122],"presents":[49],"a":[50,147],"novel":[51],"framework":[52,66],"for":[53,77,128],"area":[55,126,152],"based":[57,95,116],"on":[58,96,117],"heterogeneous":[59],"remote":[60],"sensing":[61],"(RS)":[62],"datasets.":[63],"The":[64,139,154],"proposed":[65,144,166],"fuses":[67],"synthetic":[69],"aperture":[70],"radar":[71],"(SAR),":[72],"optical,":[73],"altimetry":[75],"datasets":[76,127],"areas,":[80],"it":[82],"applied":[84],"three":[86],"main":[87],"steps:":[88],"(1)":[89],"preprocessing,":[90],"(2)":[91],"deep":[92],"feature":[93],"extraction":[94],"multiscale":[97],"residual":[98],"kernel":[99],"convolution":[100,102],"neural":[103],"network\u2019s":[104],"(CNN)":[105],"parameter":[106],"optimization":[107],"by":[108,194],"fusing":[109],"datasets,":[111],"(3)":[113],"detection":[115],"trained":[119],"model.":[120],"exploits":[123],"two":[124],"large-scale":[125],"flooded":[131],"Golestan":[134],"Khuzestan":[136],"provinces,":[137],"Iran.":[138],"results":[140],"show":[141],"that":[142],"methodology":[145],"has":[146],"performance":[149],"detection.":[153],"visual":[155],"numerical":[157],"analyses":[158],"verify":[159],"effectiveness":[161],"ability":[163],"method":[167],"detect":[169],"with":[173],"an":[174],"overall":[175],"accuracy":[176],"(OA)":[177],"higher":[178],"than":[179],"98%":[180],"both":[182],"study":[183],"areas.":[184],"Finally,":[185],"efficiency":[187],"designed":[190],"architecture":[191],"was":[192],"verified":[193],"hybrid-CNN":[195],"3D-CNN":[197],"methods.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}