{"id":"https://openalex.org/W3207795159","doi":"https://doi.org/10.1109/igarss47720.2021.9553532","title":"Urban Building Detection from Gaofen-2 Images Based on Improved Centermask","display_name":"Urban Building Detection from Gaofen-2 Images Based on Improved Centermask","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207795159","doi":"https://doi.org/10.1109/igarss47720.2021.9553532","mag":"3207795159"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553532","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":"article","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/A5103174400","display_name":"Dengji Zhou","orcid":"https://orcid.org/0000-0002-9218-9941"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengji Zhou","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048350041","display_name":"Guojin He","orcid":"https://orcid.org/0000-0001-7225-7276"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojin He","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102825033","display_name":"Guizhou Wang","orcid":"https://orcid.org/0000-0002-2347-8416"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhou Wang","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018173598","display_name":"Ranyu Yin","orcid":"https://orcid.org/0000-0001-5594-0815"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ranyu Yin","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031455013","display_name":"Fangzhou Hong","orcid":"https://orcid.org/0000-0003-2412-1141"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhou Hong","raw_affiliation_strings":["School of Earth Sciences, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19856474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4876","last_page":"4879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.9994999766349792,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9986000061035156,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7552417516708374},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6563133001327515},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.6084586381912231},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6052876114845276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811737775802612},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476332306861877},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5256465673446655},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4735269546508789},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43635979294776917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4335242509841919},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4167403280735016},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33544376492500305},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15168586373329163},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09987857937812805},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09880772233009338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7552417516708374},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6563133001327515},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.6084586381912231},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6052876114845276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811737775802612},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476332306861877},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5256465673446655},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4735269546508789},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43635979294776917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4335242509841919},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4167403280735016},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33544376492500305},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15168586373329163},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09987857937812805},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09880772233009338},{"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/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/igarss47720.2021.9553532","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553532","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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8399999737739563}],"awards":[{"id":"https://openalex.org/G8271016020","display_name":null,"funder_award_id":"61731022,61860206004,61701495","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":11,"referenced_works":["https://openalex.org/W2518897583","https://openalex.org/W2884585870","https://openalex.org/W2909555159","https://openalex.org/W2963150697","https://openalex.org/W2966926453","https://openalex.org/W2985792721","https://openalex.org/W3009564826","https://openalex.org/W3024506755","https://openalex.org/W3035049382","https://openalex.org/W3148283428","https://openalex.org/W6770414525"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2979160909","https://openalex.org/W2114837856","https://openalex.org/W4387838477","https://openalex.org/W2359364609","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2322476848","https://openalex.org/W2890372105"],"abstract_inverted_index":{"Building":[0],"detection":[1,49,152],"from":[2],"high-resolution":[3],"remote":[4,13],"sensing":[5,14],"images":[6],"is":[7,70],"one":[8],"of":[9,12,21,29,34,67],"the":[10,19,22,32,59,65,68,86,90,121,129,134,143],"tasks":[11,153],"information":[15],"extraction.":[16],"Due":[17],"to":[18,46,84,120],"particularity":[20],"radiation":[23],"quantization":[24],"value":[25],"and":[26,99,133],"spatial":[27,76,104,135],"resolution":[28],"Gaofen-2":[30],"satellite,":[31],"shape":[33],"buildings":[35],"cannot":[36,74],"be":[37],"clearly":[38],"represented":[39],"in":[40,50,150],"many":[41],"scenes,":[42],"so":[43],"it's":[44],"difficult":[45],"realize":[47],"building":[48,69,151],"complex":[51,155],"scenes.":[52,156],"This":[53],"paper":[54],"made":[55],"improvements":[56],"based":[57],"on":[58],"instance":[60],"segmentation":[61,122],"network":[62],"CenterMask.":[63],"Because":[64],"shapes":[66],"irregular,":[71],"traditional":[72,87],"convolution":[73,83],"express":[75],"deformation":[77],"well.":[78],"So":[79],"we":[80],"used":[81],"deformable":[82],"replace":[85],"convolution.":[88],"In":[89],"attention":[91,94,105,118,131,136],"mechanism,":[92],"channel-dimensional":[93],"can":[95,106,146],"highlight":[96],"useful":[97],"channels":[98],"weaken":[100],"redundant":[101],"channels.":[102],"The":[103,124],"capture":[107],"long-distance":[108],"dependence":[109],"through":[110,128],"global":[111],"context":[112],"information.":[113],"We":[114],"added":[115],"a":[116],"channel":[117,130],"mechanism":[119,132,137],"branch.":[123],"feature":[125],"map":[126],"passes":[127],"successively.":[138],"Experimental":[139],"results":[140,149],"show":[141],"that":[142],"improved":[144],"model":[145],"achieve":[147],"good":[148],"under":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
