{"id":"https://openalex.org/W2126092053","doi":"https://doi.org/10.1109/igarss.2004.1370742","title":"Urban building extraction from high-resolution satellite panchromatic image using clustering and edge detection","display_name":"Urban building extraction from high-resolution satellite panchromatic image using clustering and edge detection","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2126092053","doi":"https://doi.org/10.1109/igarss.2004.1370742","mag":"2126092053"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1370742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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/A5113558860","display_name":"Zhongming Wei","orcid":"https://orcid.org/0000-0002-6237-0993"},"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":true,"raw_author_name":"Zhongming Zhao Yanfeng Wei","raw_affiliation_strings":["Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113558860"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":2.7063,"has_fulltext":false,"cited_by_count":101,"citation_normalized_percentile":{"value":0.88688275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"2008","last_page":"2010"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9990000128746033,"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":0.9973000288009644,"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/panchromatic-film","display_name":"Panchromatic film","score":0.8374094367027283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715880811214447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6487408876419067},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6455588340759277},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6056389212608337},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.4841693043708801},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4324774146080017},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4273965060710907},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.4240339398384094},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38058561086654663},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.37539270520210266},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3005763590335846},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2925049066543579}],"concepts":[{"id":"https://openalex.org/C107445234","wikidata":"https://www.wikidata.org/wiki/Q280995","display_name":"Panchromatic film","level":3,"score":0.8374094367027283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715880811214447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6487408876419067},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6455588340759277},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6056389212608337},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4841693043708801},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4324774146080017},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4273965060710907},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.4240339398384094},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38058561086654663},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.37539270520210266},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3005763590335846},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2925049066543579},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1370742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1370742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2018839022","https://openalex.org/W2074256102","https://openalex.org/W2092041043","https://openalex.org/W2167746770"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2980082320","https://openalex.org/W2545065926","https://openalex.org/W2387510934","https://openalex.org/W3093839383","https://openalex.org/W2015446345","https://openalex.org/W3004771112"],"abstract_inverted_index":{"For":[0],"decades,":[1],"large-scale":[2],"aerial":[3,38],"photos":[4],"have":[5],"been":[6,30],"employed":[7],"to":[8,32,37,55,82,115,138,154],"extract":[9,56],"building":[10,47,58,94,124,140,147,160,189],"for":[11,133],"mapping":[12],"application.":[13],"With":[14],"the":[15,45,70,84,98,103,106,113,117,122,129,134,149,158,163,167,171,174,179,183,201,204],"successively":[16],"launching":[17],"of":[18,89,93,112,119,157,170,182,203],"high-resolution":[19,26,60],"commercial":[20],"satellites":[21],"(e.g.":[22],"IKONOS":[23],"and":[24,66,142],"QuickBird),":[25],"satellite":[27],"imagery":[28],"has":[29],"shown":[31],"be":[33,186],"a":[34,87],"cost-effective":[35],"alternative":[36],"photography":[39],"in":[40,162],"many":[41],"applications.":[42],"Drawing":[43],"on":[44],"traditional":[46],"extraction":[48,190],"approach,":[49],"this":[50],"paper":[51],"proposes":[52],"an":[53,73],"algorithm":[54],"urban":[57],"from":[59,97,128],"panchromatic":[61],"QuickBird":[62],"image":[63,85],"using":[64],"clustering":[65,75,130],"edge":[67,156],"detection.":[68],"In":[69,102],"first":[71],"step,":[72,105],"unsupervised":[74],"by":[76],"histogram":[77],"peak":[78],"selection":[79],"is":[80,152],"used":[81,109],"split":[83],"into":[86],"number":[88],"classes.":[90],"The":[91,188,198],"shadows":[92,107],"are":[95,108,126,192],"extracted":[96,127],"lowest":[99],"gray":[100],"class.":[101,136],"second":[104],"as":[110],"one":[111],"evidences":[114],"verify":[116],"presence":[118],"buildings.":[120],"Thus,":[121],"candidate":[123,159],"objects":[125,161],"classes":[131],"except":[132],"shadow":[135],"Finally,":[137],"refine":[139],"boundary":[141],"further":[143],"exclude":[144],"some":[145],"false":[146],"objects,":[148],"Canny":[150],"operator":[151],"applied":[153],"detect":[155],"PAN":[164],"image.":[165],"From":[166],"Hough":[168],"transform":[169],"detected":[172],"edges,":[173],"main":[175],"lines,":[176],"which":[177],"compose":[178],"polyhedral":[180],"description":[181],"building,":[184],"can":[185],"found.":[187],"results":[191],"compared":[193],"with":[194],"manually":[195],"delineated":[196],"results.":[197],"comparison":[199],"illustrates":[200],"efficiency":[202],"proposed":[205],"algorithm.":[206]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
