{"id":"https://openalex.org/W3021621446","doi":"https://doi.org/10.1145/3341105.3374023","title":"Automatic flood detection in SentineI-2 images using deep convolutional neural networks","display_name":"Automatic flood detection in SentineI-2 images using deep convolutional neural networks","publication_year":2020,"publication_date":"2020-03-30","ids":{"openalex":"https://openalex.org/W3021621446","doi":"https://doi.org/10.1145/3341105.3374023","mag":"3021621446"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":"https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1287&context=scschcomcon","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080656954","display_name":"Pallavi Jain","orcid":"https://orcid.org/0000-0002-1731-8993"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"funder","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Pallavi Jain","raw_affiliation_strings":["Technological University Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013295291","display_name":"Bianca Schoen-Phelan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"funder","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Bianca Schoen-Phelan","raw_affiliation_strings":["Technological University Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009346892","display_name":"Robert Ross","orcid":"https://orcid.org/0000-0001-7088-273X"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"funder","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Robert Ross","raw_affiliation_strings":["Technological University Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":15.359,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":24,"citation_normalized_percentile":{"value":0.982047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"623"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9999,"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":0.9999,"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":0.9839,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.976,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.7054633},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.4240176}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7788999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125292},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7054633},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.6789632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495061},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5896746},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42998606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42408144},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4240176},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4111035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4006818},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35520613},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17214504},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10735738},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/scschcomcon/276","pdf_url":"https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1287&context=scschcomcon","source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":["Technological University Dublin"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/scschcomcon/276","pdf_url":"https://arrow.tudublin.ie/cgi/viewcontent.cgi?article=1287&context=scschcomcon","source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":["Technological University Dublin"],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":25,"referenced_works":["https://openalex.org/W1567302070","https://openalex.org/W1774599919","https://openalex.org/W1917395817","https://openalex.org/W1991005893","https://openalex.org/W1995581599","https://openalex.org/W2077509829","https://openalex.org/W2089857033","https://openalex.org/W2092878288","https://openalex.org/W2098676252","https://openalex.org/W2100495367","https://openalex.org/W2108598243","https://openalex.org/W2131290473","https://openalex.org/W2155893237","https://openalex.org/W2161381512","https://openalex.org/W2163605009","https://openalex.org/W2168480769","https://openalex.org/W2169311789","https://openalex.org/W2336807904","https://openalex.org/W2464416094","https://openalex.org/W2467010224","https://openalex.org/W2616755213","https://openalex.org/W2727875856","https://openalex.org/W2948653957","https://openalex.org/W2963864365","https://openalex.org/W4253135090"],"related_works":["https://openalex.org/W63519562","https://openalex.org/W4375867731","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W3103566983","https://openalex.org/W3020755331","https://openalex.org/W2951211570","https://openalex.org/W2770593030","https://openalex.org/W2593813247","https://openalex.org/W2394377911"],"abstract_inverted_index":{"The":[0],"early":[1,46],"and":[2,14,40,45,91,104,115],"accurate":[3,44],"detection":[4],"of":[5,16,21,113],"floods":[6],"from":[7,23],"satellite":[8,24],"imagery":[9],"can":[10],"aid":[11],"rescue":[12],"planning":[13],"assessment":[15],"geophysical":[17],"damage.":[18],"Automatic":[19],"identification":[20,75],"water":[22,61,101,107,129],"images":[25],"has":[26],"historically":[27],"relied":[28],"on":[29,85],"hand-crafted":[30],"functions,":[31],"but":[32],"these":[33,53],"often":[34],"do":[35],"not":[36],"provide":[37],"the":[38,77,94,111],"accuracy":[39],"robustness":[41],"needed":[42],"for":[43],"flood":[47,74,80,141],"detection.":[48],"To":[49],"try":[50],"to":[51,73,139],"overcome":[52],"limitations":[54],"we":[55,98],"investigate":[56],"a":[57,66,106],"tiered":[58],"methodology":[59],"combining":[60],"index":[62,108,130],"like":[63],"features":[64],"with":[65,110,118,134],"deep":[67,87],"convolutional":[68],"neural":[69,88],"network":[70,89,136],"based":[71],"solution":[72],"against":[76],"MediaEval":[78],"2019":[79],"dataset.":[81],"Our":[82,120],"method":[83],"builds":[84],"existing":[86],"methods,":[90],"in":[92,137,142],"particular":[93],"VGG16":[95,135],"network.":[96],"Specifically,":[97],"explored":[99],"different":[100],"indexing":[102],"techniques":[103],"proposed":[105],"function":[109],"use":[112],"Green/SWIR":[114],"Blue/NIR":[116],"bands":[117],"VGG16.":[119],"experiment":[121],"shows":[122],"that":[123],"our":[124],"approach":[125],"outperformed":[126],"all":[127],"other":[128],"technique":[131],"when":[132],"combined":[133],"order":[138],"detect":[140],"images.":[143]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3021621446","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3}],"updated_date":"2025-03-19T20:17:56.745445","created_date":"2020-05-13"}