{"id":"https://openalex.org/W2986876627","doi":"https://doi.org/10.1109/igarss.2019.8898140","title":"Flooded Areas Evaluation from Aerial Images Based on Convolutional Neural Network","display_name":"Flooded Areas Evaluation from Aerial Images Based on Convolutional Neural Network","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2986876627","doi":"https://doi.org/10.1109/igarss.2019.8898140","mag":"2986876627"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 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/A5067604275","display_name":"Loretta Ichim","orcid":"https://orcid.org/0000-0002-7465-3958"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Loretta Ichim","raw_affiliation_strings":["University POLITEHNICA of Bucharest, Bucharest, ROMANIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University POLITEHNICA of Bucharest, Bucharest, ROMANIA","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044811337","display_name":"Dan Popescu","orcid":"https://orcid.org/0000-0002-1883-0091"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dan Popescu","raw_affiliation_strings":["University POLITEHNICA of Bucharest, Bucharest, ROMANIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University POLITEHNICA of Bucharest, Bucharest, ROMANIA","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":3.7853,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94351264,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9756","last_page":"9759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9993000030517578,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7662675380706787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7210779190063477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6650609970092773},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.544429361820221},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5213652849197388},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5177273154258728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5170469880104065},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.48315829038619995},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4526415467262268},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4254707098007202},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39602163434028625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3589993119239807},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17815759778022766}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7662675380706787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210779190063477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6650609970092773},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.544429361820221},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5213652849197388},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5177273154258728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5170469880104065},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.48315829038619995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4526415467262268},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4254707098007202},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39602163434028625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3589993119239807},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17815759778022766},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1963882359","https://openalex.org/W1981546716","https://openalex.org/W2099688631","https://openalex.org/W2325156982","https://openalex.org/W2589667994","https://openalex.org/W2595964094","https://openalex.org/W2737129951","https://openalex.org/W2900738550","https://openalex.org/W2901139858","https://openalex.org/W2901886595","https://openalex.org/W2953066166","https://openalex.org/W3100521496","https://openalex.org/W6764750447"],"related_works":["https://openalex.org/W1989735375","https://openalex.org/W4293226380","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2922442631","https://openalex.org/W2034727732"],"abstract_inverted_index":{"The":[0,25,41,109],"most":[1],"convenient":[2],"method":[3],"to":[4,12,48,71],"assess":[5],"flood":[6],"damage":[7],"in":[8,37,61,76],"rural":[9],"areas":[10],"is":[11,69],"analyze":[13],"the":[14,35,49,57,73,100,106,116,119],"images":[15,42,58,85],"taken":[16],"over":[17],"by":[18,34],"a":[19,38,65],"UAV":[20],"(unmanned":[21],"aerial":[22,30],"vehicle)":[23],"team.":[24],"paper":[26],"presents":[27],"such":[28],"an":[29,55],"unmanned":[31],"system,":[32],"implemented":[33],"authors":[36],"research":[39],"project.":[40],"are":[43,59],"directly":[44],"transmitted":[45],"via":[46],"internet":[47],"image":[50],"processing":[51],"sub-system.":[52],"After":[53],"creating":[54],"orthophotoplan,":[56],"partitioned":[60],"patches":[62,97],"and":[63,88,94,103,118],"then":[64],"convolutional":[66],"neural":[67],"network":[68],"used":[70,93],"classify":[72],"patch":[74],"pixels":[75],"flooded":[77,87,90],"type":[78],"or":[79],"non-flooded.":[80],"A":[81],"set":[82],"of":[83],"100":[84],"with":[86],"non":[89],"zones":[91],"was":[92],"corresponding":[95],"5000":[96],"(3000":[98],"for":[99,105],"learning":[101],"phase":[102],"2000":[104],"testing":[107],"phase).":[108],"experimental":[110],"results":[111],"show":[112],"good":[113],"performances":[114],"regarding":[115],"accuracy":[117],"calculation":[120],"time.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
