{"id":"https://openalex.org/W2061054297","doi":"https://doi.org/10.1109/igarss.2013.6721129","title":"Automatic building extraction from very high resolution satellite imagery using line segment detector","display_name":"Automatic building extraction from very high resolution satellite imagery using line segment detector","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2061054297","doi":"https://doi.org/10.1109/igarss.2013.6721129","mag":"2061054297"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6721129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5100384686","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-1305-5735"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109077790","display_name":"Qiming Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiming Qin","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379272","display_name":"Li Chen","orcid":"https://orcid.org/0000-0002-6915-6041"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Chen","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348108","display_name":"Xin Ye","orcid":"https://orcid.org/0000-0002-4795-1685"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ye","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019003578","display_name":"Xuebin Qin","orcid":"https://orcid.org/0000-0002-9042-7192"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuebin Qin","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040532558","display_name":"Jianhua Wang","orcid":"https://orcid.org/0000-0001-8372-5864"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Wang","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100408399","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-2094-9734"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Institute of Remote Sensing and Geographic Information System, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1904,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.75174136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"212","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9983000159263611,"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":0.9983000159263611,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9979000091552734,"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":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.759555459022522},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7155641317367554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854288578033447},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6505880355834961},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6309593915939331},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6257919073104858},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.5237657427787781},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49871826171875},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.49033069610595703},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4878690242767334},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.43400561809539795},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4217413663864136},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.41873985528945923},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4140092134475708},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3599686026573181},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2672339081764221},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2411351501941681},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11462229490280151},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10410097241401672},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09077233076095581}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759555459022522},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7155641317367554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854288578033447},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6505880355834961},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6309593915939331},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6257919073104858},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.5237657427787781},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49871826171875},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.49033069610595703},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4878690242767334},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.43400561809539795},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4217413663864136},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.41873985528945923},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4140092134475708},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3599686026573181},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2672339081764221},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2411351501941681},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11462229490280151},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10410097241401672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09077233076095581},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6721129","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6721129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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","score":0.800000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W1971025369","https://openalex.org/W1978135836","https://openalex.org/W2002323527","https://openalex.org/W2018839022","https://openalex.org/W2025492923","https://openalex.org/W2046175448","https://openalex.org/W2058436841","https://openalex.org/W2092041043","https://openalex.org/W2099244020","https://openalex.org/W2103054881","https://openalex.org/W2139147019","https://openalex.org/W2145158371","https://openalex.org/W2154748180","https://openalex.org/W2155910279","https://openalex.org/W2160072137","https://openalex.org/W2913455019","https://openalex.org/W3012483050"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2978930127","https://openalex.org/W2133373206","https://openalex.org/W2911692504","https://openalex.org/W2048995080","https://openalex.org/W2787595110","https://openalex.org/W2797973466","https://openalex.org/W2320038733","https://openalex.org/W2327766801","https://openalex.org/W2053323640"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"automatic":[4],"procedure":[5],"for":[6],"rapid":[7,36],"building":[8,30,49,73],"extraction":[9,19,31],"from":[10],"optical":[11,101],"very":[12],"high":[13],"resolution":[14],"(VHR)":[15],"satellite":[16,104],"imagery.":[17],"Classical":[18],"models":[20],"are":[21],"always":[22],"complex":[23],"and":[24,39,106,120],"time-consuming.":[25],"The":[26],"optimized":[27],"process":[28],"of":[29,33,93,114,122],"consists":[32],"three":[34],"main":[35],"stages:":[37],"edge-preserving":[38],"smoothing":[40],"bilateral":[41,54],"filter,":[42],"line":[43,65,91],"segment":[44,66],"detection,":[45],"perceptual":[46,80],"grouping":[47,81],"polygonal":[48],"boundary.":[50],"Firstly,":[51],"we":[52,77],"use":[53],"filter":[55],"to":[56,87],"smooth":[57],"original":[58],"image":[59],"with":[60,111],"edge-preserving.":[61],"Secondly,":[62],"a":[63],"state-of-the-art":[64],"detector":[67],"(LSD)":[68],"algorithm":[69],"gives":[70],"highly":[71],"accurate":[72],"contour":[74,90],"segments.":[75],"Finally,":[76],"apply":[78],"the":[79,118],"approach":[82],"based":[83],"on":[84,100],"graph":[85],"search":[86],"organize":[88],"detected":[89],"segments":[92],"interested":[94],"buildings.":[95],"We":[96],"test":[97],"our":[98],"method":[99],"VHR":[102],"QuickBird":[103],"imagery":[105],"obtain":[107],"promising":[108],"experimental":[109],"results":[110],"overall":[112],"accuracy":[113],"79.1%,":[115],"which":[116],"confirm":[117],"effectiveness":[119],"robustness":[121],"this":[123],"linear-time":[124],"procedure.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
