{"id":"https://openalex.org/W2771784662","doi":"https://doi.org/10.1109/igarss.2017.8127295","title":"Building extraction from remote sensing images with deep learning in a supervised manner","display_name":"Building extraction from remote sensing images with deep learning in a supervised manner","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2771784662","doi":"https://doi.org/10.1109/igarss.2017.8127295","mag":"2771784662"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5053611461","display_name":"Kaiqiang Chen","orcid":"https://orcid.org/0000-0002-8314-2375"},"institutions":[{"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":"Kaiqiang Chen","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112365916","display_name":"Kun Fu","orcid":"https://orcid.org/0000-0002-0450-6469"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Fu","raw_affiliation_strings":["Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074960174","display_name":"Xin Gao","orcid":"https://orcid.org/0000-0001-9906-0596"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Gao","raw_affiliation_strings":["Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100884860","display_name":"Menglong Yan","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglong Yan","raw_affiliation_strings":["Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005905514","display_name":"Xian Sun","orcid":"https://orcid.org/0000-0002-0038-9816"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian Sun","raw_affiliation_strings":["Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356958","display_name":"Huan Zhang","orcid":"https://orcid.org/0000-0002-3698-5409"},"institutions":[{"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":"Huan Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1672","last_page":"1675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9995999932289124,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9995999932289124,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.9106320142745972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.770068347454071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7076608538627625},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6949752569198608},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6468173265457153},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5630820989608765},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.537093997001648},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5024011135101318},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4956716299057007},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4592333734035492},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45287737250328064},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.44070807099342346},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.43977484107017517},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42928075790405273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42284440994262695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3629903793334961},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10996970534324646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1052735447883606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10405737161636353},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08300912380218506}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9106320142745972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770068347454071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7076608538627625},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6949752569198608},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6468173265457153},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5630820989608765},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.537093997001648},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5024011135101318},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4956716299057007},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4592333734035492},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45287737250328064},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.44070807099342346},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.43977484107017517},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42928075790405273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42284440994262695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3629903793334961},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10996970534324646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1052735447883606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10405737161636353},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08300912380218506},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W360623563","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1745334888","https://openalex.org/W1836465849","https://openalex.org/W1909515874","https://openalex.org/W1910657905","https://openalex.org/W1972200176","https://openalex.org/W1975520234","https://openalex.org/W1984850722","https://openalex.org/W2163605009","https://openalex.org/W2186615578","https://openalex.org/W2416190443","https://openalex.org/W2488187315","https://openalex.org/W2507478118","https://openalex.org/W2520172704","https://openalex.org/W2546763098","https://openalex.org/W2548579603","https://openalex.org/W2949117887","https://openalex.org/W2963881378","https://openalex.org/W2963911037","https://openalex.org/W6684191040","https://openalex.org/W6725647464","https://openalex.org/W6726864884"],"related_works":["https://openalex.org/W2989932438","https://openalex.org/W4321369474","https://openalex.org/W3081496756","https://openalex.org/W2731899572","https://openalex.org/W3099765033","https://openalex.org/W4220996320","https://openalex.org/W4312417841","https://openalex.org/W2767651786","https://openalex.org/W4283701629","https://openalex.org/W4361732492"],"abstract_inverted_index":{"Building":[0],"extraction":[1,67,87,130],"from":[2],"remote":[3,17,110],"sensing":[4,111],"images":[5],"is":[6,82,96,112,121],"a":[7,69,93,100],"longstanding":[8],"topic":[9],"in":[10,20,68,88,109],"land":[11],"use":[12],"analysis":[13],"and":[14,22,27,56,118,132],"applications":[15],"of":[16,24,34,50,58],"sensing.":[18],"Variations":[19],"shape":[21],"appearance":[23],"buildings,":[25],"occlusions":[26],"other":[28,137],"unpredictable":[29],"factors":[30],"increase":[31],"the":[32,44],"hardness":[33],"automatic":[35],"building":[36,66,86,129],"extraction.":[37],"Numerous":[38],"methods":[39,124,138],"have":[40],"been":[41],"proposed":[42],"during":[43],"last":[45],"several":[46],"decays,":[47],"but":[48],"most":[49],"these":[51],"works":[52],"are":[53,125],"task":[54],"oriented":[55],"lack":[57],"generalization.":[59],"This":[60],"paper":[61],"applys":[62],"deep":[63,73,94],"learning":[64],"to":[65,84,98,128],"supervised":[70],"manner.":[71],"A":[72],"deconvolution":[74],"neural":[75],"network":[76,95],"with":[77,136],"27":[78],"Convolution/Deconvolution":[79],"weight":[80],"layers":[81],"designed":[83],"realize":[85],"pixel":[89],"level.":[90],"As":[91],"such":[92],"prone":[97],"overfitting,":[99],"data":[101],"augment":[102],"method":[103],"that":[104],"suits":[105],"pixel-wise":[106],"prediction":[107],"tasks":[108,131],"suggested.":[113],"Moreover,":[114],"an":[115],"overall":[116],"training":[117],"inferencing":[119],"architecture":[120],"proposed.":[122],"Our":[123],"finally":[126],"applied":[127],"get":[133],"competitive":[134],"results":[135],"published.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
