{"id":"https://openalex.org/W2045143156","doi":"https://doi.org/10.1109/jstars.2013.2256882","title":"An Evaluation System for Building Footprint Extraction From Remotely Sensed Data","display_name":"An Evaluation System for Building Footprint Extraction From Remotely Sensed Data","publication_year":2013,"publication_date":"2013-05-14","ids":{"openalex":"https://openalex.org/W2045143156","doi":"https://doi.org/10.1109/jstars.2013.2256882","mag":"2045143156"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2013.2256882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2256882","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101654401","display_name":"Chuiqing Zeng","orcid":"https://orcid.org/0000-0003-0198-5617"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chuiqing Zeng","raw_affiliation_strings":["Department of Geography, University of Western Ontario, London, ONT, Canada","Dept. of Geogr., Univ. of Western Ontario, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["Beijing Normal University, Beijing, Beijing, CN","State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Lab. of Earth Surface Processes and Resource Ecology; Beijing Normal Univ.; Beijing China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033850963","display_name":"Brad Lehrbass","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Brad Lehrbass","raw_affiliation_strings":["Department ofGeography, University of Western Ontario, London, ONT, Canada","Dept. of Geogr., Univ. of Western Ontario, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department ofGeography, University of Western Ontario, London, ONT, Canada","institution_ids":["https://openalex.org/I125749732"]},{"raw_affiliation_string":"Dept. of Geogr., Univ. of Western Ontario, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":4.1512,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.93017809,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":"3","first_page":"1640","last_page":"1652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9991000294685364,"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":0.9976000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7453945875167847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5414048433303833},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5397956967353821},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5144491195678711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49709299206733704},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.47210589051246643},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.44460833072662354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43198639154434204},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.41692161560058594},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.4121726453304291}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453945875167847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5414048433303833},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5397956967353821},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5144491195678711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49709299206733704},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.47210589051246643},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.44460833072662354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43198639154434204},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.41692161560058594},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.4121726453304291},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2013.2256882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2013.2256882","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1534408902","https://openalex.org/W1558876495","https://openalex.org/W1968076828","https://openalex.org/W1974526806","https://openalex.org/W1981565399","https://openalex.org/W1984792953","https://openalex.org/W1988745263","https://openalex.org/W1992465911","https://openalex.org/W1996187920","https://openalex.org/W2002899493","https://openalex.org/W2005073772","https://openalex.org/W2008477163","https://openalex.org/W2015571614","https://openalex.org/W2019545415","https://openalex.org/W2034170470","https://openalex.org/W2042365185","https://openalex.org/W2044931739","https://openalex.org/W2055569426","https://openalex.org/W2063273970","https://openalex.org/W2069748987","https://openalex.org/W2074256102","https://openalex.org/W2085665642","https://openalex.org/W2094078369","https://openalex.org/W2097840056","https://openalex.org/W2104095591","https://openalex.org/W2114828048","https://openalex.org/W2117186870","https://openalex.org/W2121472011","https://openalex.org/W2125911428","https://openalex.org/W2134345313","https://openalex.org/W2134845649","https://openalex.org/W2136651098","https://openalex.org/W2138884818","https://openalex.org/W2148432646","https://openalex.org/W2152440692","https://openalex.org/W2155148032","https://openalex.org/W2159498975","https://openalex.org/W2164976328","https://openalex.org/W2171733271","https://openalex.org/W2338090572","https://openalex.org/W6703777118"],"related_works":["https://openalex.org/W1667647204","https://openalex.org/W2404647514","https://openalex.org/W4247536566","https://openalex.org/W2018477250","https://openalex.org/W3119814709","https://openalex.org/W4241418540","https://openalex.org/W1508895727","https://openalex.org/W2725786787","https://openalex.org/W4283160672","https://openalex.org/W1590965489"],"abstract_inverted_index":{"This":[0,167],"study":[1],"proposes":[2],"a":[3],"multi-criteria":[4],"and":[5,59,71,76,79,106,119,127,178],"hierarchical":[6],"evaluation":[7,19,38,49],"system":[8,39,97,154,168],"for":[9,51,124],"building":[10,131,176],"extraction":[11,31,132],"from":[12],"remotely":[13],"sensed":[14],"data.":[15],"Most":[16],"of":[17,30,41],"current":[18],"methods":[20],"are":[21,33,122,141],"focused":[22],"on":[23],"classification":[24,54,164],"accuracy,":[25],"while":[26],"the":[27,45,52,62,67,81,111,145,152,174,179,190],"other":[28],"dimensions":[29],"accuracy":[32,55,83,165],"usually":[34],"ignored.":[35],"The":[36,96,148],"proposed":[37,146,153],"consists":[40],"three":[42],"components:":[43],"1)":[44],"matched":[46],"rate,":[47],"including":[48,74],"metrics":[50,125],"traditional":[53,163,191],"(e.g.,":[56],"completeness,":[57],"correctness,":[58],"quality);":[60],"2)":[61],"shape":[63],"similarity":[64],"that":[65,151],"describes":[66],"resemblance":[68],"between":[69,173],"reference":[70,180],"extracted":[72,101,175],"buildings,":[73],"image-based":[75],"polygon-based":[77],"metrics;":[78],"3)":[80],"positional":[82],"which":[84],"is":[85,155,186],"measured":[86,188],"by":[87,189],"distances":[88],"at":[89,103],"feature":[90],"points":[91],"such":[92],"as":[93],"building's":[94],"centroid.":[95],"also":[98],"hierarchically":[99],"evaluates":[100],"buildings":[102],"per-building,":[104],"per-scene,":[105],"overall":[107],"levels.":[108],"To":[109],"reduce":[110],"redundancy":[112],"among":[113],"different":[114,130],"metrics,":[115],"principal":[116],"component":[117],"analysis":[118,121],"correlation":[120],"employed":[123],"selection":[126],"aggregation.":[128],"Four":[129],"methods,":[133],"using":[134],"high-resolution":[135],"optical":[136],"imagery":[137],"and/or":[138],"LiDAR":[139],"data,":[140,181],"implemented":[142],"to":[143,162],"test":[144],"system.":[147],"experiment":[149],"demonstrates":[150],"more":[156],"consistent":[157],"with":[158],"human":[159],"vision":[160],"compared":[161],"metrics.":[166,192],"can":[169],"highlight":[170],"perceptible":[171],"differences":[172],"footprints":[177],"even":[182],"if":[183],"this":[184],"difference":[185],"insignificant":[187]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}