{"id":"https://openalex.org/W3206183740","doi":"https://doi.org/10.1109/igarss47720.2021.9554058","title":"Attention Residual U-Net for Building Segmentation in Aerial Images","display_name":"Attention Residual U-Net for Building Segmentation in Aerial Images","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206183740","doi":"https://doi.org/10.1109/igarss47720.2021.9554058","mag":"3206183740"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5101473265","display_name":"Chaohui Li","orcid":"https://orcid.org/0009-0009-6196-1191"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaohui Li","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040669443","display_name":"Yingjian Liu","orcid":"https://orcid.org/0000-0002-3401-2566"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjian Liu","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007057975","display_name":"Haoyu Yin","orcid":"https://orcid.org/0000-0002-3244-6301"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Yin","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616712","display_name":"Yue Li","orcid":"https://orcid.org/0000-0003-1267-4451"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Li","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047983806","display_name":"Qingxiang Guo","orcid":"https://orcid.org/0000-0001-7391-2893"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxiang Guo","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680761","display_name":"Limin Zhang","orcid":"https://orcid.org/0000-0002-1350-1918"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Zhang","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034136656","display_name":"Pengting Du","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengting Du","raw_affiliation_strings":["Ocean University of China, Qindao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China, Qindao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4047","last_page":"4050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9994000196456909,"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":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/residual","display_name":"Residual","score":0.7877466082572937},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7190296649932861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.690304696559906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.63509202003479},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5729374885559082},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5536537766456604},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5350787043571472},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5325369238853455},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5203737616539001},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47116905450820923},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45212841033935547},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4351913630962372},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4081555902957916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2241564393043518},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1685085892677307},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1674690544605255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11526867747306824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08905366063117981}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7877466082572937},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7190296649932861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.690304696559906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63509202003479},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5729374885559082},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5536537766456604},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5350787043571472},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5325369238853455},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5203737616539001},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47116905450820923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45212841033935547},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4351913630962372},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4081555902957916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2241564393043518},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1685085892677307},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1674690544605255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11526867747306824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08905366063117981},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G4473487391","display_name":null,"funder_award_id":"61572448,61673357","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2124592697","https://openalex.org/W2194775991","https://openalex.org/W2395611524","https://openalex.org/W2609402060","https://openalex.org/W2620689612","https://openalex.org/W2755226765","https://openalex.org/W2775208825","https://openalex.org/W2798122215","https://openalex.org/W2963091558","https://openalex.org/W2963525222","https://openalex.org/W2963881378","https://openalex.org/W6639824700","https://openalex.org/W6750469568"],"related_works":["https://openalex.org/W2517104666","https://openalex.org/W2005437358","https://openalex.org/W1669643531","https://openalex.org/W2337415362","https://openalex.org/W2008656436","https://openalex.org/W2134924024","https://openalex.org/W2023558673","https://openalex.org/W4312857205","https://openalex.org/W121273120","https://openalex.org/W3112953119"],"abstract_inverted_index":{"Semantic":[0],"segmentation":[1,19,36],"of":[2,16,51,101,122,129],"aerial":[3,27],"images":[4,28],"plays":[5],"an":[6,120],"important":[7],"role":[8],"in":[9],"urban":[10],"area":[11],"monitoring.":[12],"But":[13],"the":[14,49,76,86,99,102,106],"diversity":[15],"buildings":[17,25],"makes":[18],"a":[20,34,81],"hard":[21],"task.":[22],"To":[23],"detect":[24],"from":[26],"more":[29],"precisely,":[30],"this":[31],"paper":[32],"proposes":[33],"pixel-level":[35],"method,":[37],"named":[38],"Attention":[39,63],"Residual":[40,73],"U-net":[41],"(ARU-net).":[42],"ARU-net":[43,89,115],"adds":[44],"two":[45],"major":[46],"part":[47],"into":[48],"framework":[50],"U-net,":[52],"i.e.":[53],"attention":[54,66],"path":[55,64],"and":[56,124],"residual":[57,87],"connection,":[58],"focusing":[59],"on":[60,105],"feature":[61,71],"reuse.":[62],"utilizes":[65],"mechanism":[67],"to":[68,85,97],"capture":[69],"spatial":[70],"details.":[72],"connection":[74],"implies":[75],"semantic":[77],"information":[78],"flow":[79],"through":[80],"1\u00d71":[82],"convolution":[83],"similar":[84],"form.":[88],"can":[90],"be":[91],"trained":[92],"end-to-end.":[93],"Experiments":[94],"are":[95],"conducted":[96],"evaluate":[98],"effectiveness":[100],"proposed":[103],"model":[104],"Inria":[107],"Aerial":[108],"Image":[109],"Labeling":[110],"Dataset.":[111],"Results":[112],"indicate":[113],"that":[114],"outperforms":[116],"other":[117],"baselines":[118],"with":[119],"accuracy":[121],"93.84%":[123],"intersection":[125],"over":[126],"union":[127],"(IoU)":[128],"60.90%.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
