{"id":"https://openalex.org/W4402265766","doi":"https://doi.org/10.1109/igarss53475.2024.10640560","title":"Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery","display_name":"Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402265766","doi":"https://doi.org/10.1109/igarss53475.2024.10640560"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10640560","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 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/A5100622104","display_name":"Zhili Zhang","orcid":"https://orcid.org/0000-0003-3144-7510"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhili Zhang","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102735163","display_name":"Xiangyun Hu","orcid":"https://orcid.org/0000-0003-3011-0983"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyun Hu","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042906115","display_name":"Jiabo Xu","orcid":"https://orcid.org/0000-0002-3120-0705"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiabo Xu","raw_affiliation_strings":["Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Remote Sensing and Information Engineering,Wuhan,P. R. China,430079","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34699224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7392","last_page":"7395"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7304832935333252},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6286512017250061},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.574439287185669},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5157716274261475},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46999868750572205},{"id":"https://openalex.org/keywords/quality-assessment","display_name":"Quality assessment","score":0.4633615016937256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4575795531272888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4544144868850708},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45047318935394287},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.41717734932899475},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1546335220336914},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11108270287513733},{"id":"https://openalex.org/keywords/evaluation-methods","display_name":"Evaluation methods","score":0.08055084943771362},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.06772562861442566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304832935333252},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6286512017250061},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.574439287185669},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5157716274261475},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46999868750572205},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.4633615016937256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4575795531272888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4544144868850708},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45047318935394287},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.41717734932899475},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1546335220336914},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11108270287513733},{"id":"https://openalex.org/C3018395757","wikidata":"https://www.wikidata.org/wiki/Q1379672","display_name":"Evaluation methods","level":2,"score":0.08055084943771362},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.06772562861442566},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss53475.2024.10640560","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10640560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2110764733","https://openalex.org/W2119424690","https://openalex.org/W2194775991","https://openalex.org/W2630837129","https://openalex.org/W2884822772","https://openalex.org/W3130076058","https://openalex.org/W4200186147","https://openalex.org/W4285163836","https://openalex.org/W4378895660","https://openalex.org/W4390872789","https://openalex.org/W4390874575"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0],"this":[1,42],"research,":[2],"we":[3],"introduce":[4],"the":[5,17,123,126,140],"enhanced":[6],"automated":[7],"quality":[8,18,35,96,132],"assessment":[9,97],"network":[10],"(IBS-AQSNet),":[11],"an":[12],"innovative":[13],"solution":[14],"for":[15,69],"assessing":[16],"of":[19,51,125],"interactive":[20],"building":[21],"segmentation":[22,34,76,104,131],"within":[23],"high-resolution":[24],"remote":[25],"sensing":[26],"imagery.":[27],"This":[28],"is":[29,106],"a":[30,61,66,93,113,136],"new":[31,137],"challenge":[32],"in":[33,100,129,139],"assessment,":[36,133],"and":[37,46,75],"our":[38,58],"proposed":[39,127],"IBS-AQSNet":[40,91],"allievate":[41],"by":[43],"identifying":[44],"missed":[45,108],"mistaken":[47],"segment":[48],"areas.":[49],"First":[50],"all,":[52],"to":[53],"acquire":[54],"robust":[55],"image":[56],"features,":[57],"method":[59,128],"combines":[60],"robust,":[62],"pre-trained":[63],"backbone":[64],"with":[65,87],"lightweight":[67],"counterpart":[68],"comprehensive":[70],"feature":[71],"extraction":[72],"from":[73],"imagery":[74],"results.":[77],"These":[78],"features":[79],"are":[80],"subsequently":[81],"fused":[82],"using":[83],"simple":[84],"convolution":[85],"layers":[86],"residual":[88],"connections.":[89],"Additionally,":[90],"incorporates":[92],"multi-scale":[94],"differential":[95],"decoder,":[98],"proficient":[99],"pinpointing":[101],"areas":[102],"where":[103],"result":[105],"either":[107],"or":[109],"mistaken.":[110],"Experiments":[111],"on":[112],"newly-built":[114],"EVLab-BGZ":[115],"dataset,":[116],"which":[117],"includes":[118],"over":[119],"39,198":[120],"buildings,":[121],"demonstrate":[122],"superiority":[124],"automating":[130],"thereby":[134],"setting":[135],"benchmark":[138],"field.":[141]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}