{"id":"https://openalex.org/W150263746","doi":null,"title":"CLASSIFICATION TREE BASED BUILDING DETECTION FROM LASER SCANNER AND AERIAL IMAGE DATA","display_name":"CLASSIFICATION TREE BASED BUILDING DETECTION FROM LASER SCANNER AND AERIAL IMAGE DATA","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W150263746","mag":"150263746"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.222.2729","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.2729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isprs.org/proceedings/XXXVI/3-W52/final_papers/Matikainen_2007.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5069256250","display_name":"Leena Matikainen A","orcid":"https://orcid.org/0009-0004-3065-1274","observed_orcids":["https://orcid.org/0009-0004-3065-1274"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leena Matikainen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043014786","display_name":"Harri Kaartinen","orcid":"https://orcid.org/0000-0002-4796-3942","observed_orcids":["https://orcid.org/0000-0002-4796-3942"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harri Kaartinen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-4796-3942","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033042071","display_name":"Juha M. Hyyppa","orcid":"https://orcid.org/0000-0001-5360-4017","observed_orcids":["https://orcid.org/0000-0001-5360-4017"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juha Hyypp\u00e4","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5360-4017","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.5704,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96950196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9970999956130981,"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"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/building-detection","display_name":"building detection","score":0.9990000128746033},{"id":"https://openalex.org/keywords/classification-trees","display_name":"classification trees","score":0.9300000071525574},{"id":"https://openalex.org/keywords/digital-surface-model","display_name":"digital surface model","score":0.8370000123977661}],"concepts":[{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.7006034255027771},{"id":"https://openalex.org/C141349535","wikidata":"https://www.wikidata.org/wiki/Q1361664","display_name":"Laser scanning","level":3,"score":0.7000948786735535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6048733592033386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5554154515266418},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5103728175163269},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.4745177626609802},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46116015315055847},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42307716608047485},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.41753795742988586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38352835178375244},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3624064326286316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3519929349422455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.312888503074646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28648436069488525},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.22476890683174133},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16456720232963562},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06514590978622437},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.222.2729","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.2729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.isprs.org/proceedings/XXXVI/3-W52/final_papers/Matikainen_2007.pdf","raw_type":"text"},{"id":"mag:150263746","doi":null,"is_oa":false,"landing_page_url":"https://www.isprs.org/proceedings/XXXVI/3-W52/final_papers/Matikainen_2007.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142999887466431}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1482289351","https://openalex.org/W1508239707","https://openalex.org/W1594031697","https://openalex.org/W1976379828","https://openalex.org/W1997452126","https://openalex.org/W2008477163","https://openalex.org/W2019545415","https://openalex.org/W2021423901","https://openalex.org/W2035549557","https://openalex.org/W2038951852","https://openalex.org/W2044465660","https://openalex.org/W2073056054","https://openalex.org/W2100714408","https://openalex.org/W2115758154","https://openalex.org/W2125283600","https://openalex.org/W2134345313","https://openalex.org/W2152151173","https://openalex.org/W2156526087","https://openalex.org/W2158770403","https://openalex.org/W2186263394","https://openalex.org/W2329812976","https://openalex.org/W2478677049","https://openalex.org/W2574149607","https://openalex.org/W2965109002","https://openalex.org/W2981849677","https://openalex.org/W3085162807"],"related_works":["https://openalex.org/W2754517125","https://openalex.org/W2081027240","https://openalex.org/W2352959050","https://openalex.org/W3198409464","https://openalex.org/W2058682450","https://openalex.org/W2051101079","https://openalex.org/W2344125013","https://openalex.org/W2766933886","https://openalex.org/W7097898157","https://openalex.org/W1198663180"],"abstract_inverted_index":{"A":[0,10],"classification":[1,61,65,117,124,135,161,194,228,259],"tree":[2,37,48,62,118,125,162],"based":[3],"approach":[4,172],"for":[5,100,115,126,155,173],"building":[6,144,202],"detection":[7,203],"was":[8,22,153],"tested.":[9],"digital":[11],"surface":[12],"model":[13],"(DSM)":[14],"derived":[15,80],"from":[16,81,176],"last":[17,83,244,263],"pulse":[18,84,87,242,245,264],"laser":[19,44,246,265],"scanner":[20,247,266],"data":[21,114,180,213,248],"first":[23,86,241],"segmented":[24],"and":[25,34,47,56,89,169,227,243],"the":[26,40,60,82,101,116,185,193,253],"segments":[27,50,102,109],"were":[28,51,67,79,103,110,131],"classified":[29,53],"into":[30,54],"classes":[31],"\u2018ground":[32],"\u2019":[33,38,49],"\u2018building":[35],"or":[36,239],"on":[39],"basis":[41],"of":[42,73,107,136,149,211,235],"preclassified":[43],"points.":[45],"\u2018Building":[46],"further":[52],"buildings":[55,156,175],"trees":[57,130],"by":[58],"using":[59,70,216],"method.":[63],"Four":[64],"tests":[66],"carried":[68],"out":[69],"different":[71,209,231],"combinations":[72,210],"44":[74],"input":[75,113,212],"attributes.":[76],"The":[77,105,129,160,196,233],"attributes":[78,98,106,226],"DSM,":[85],"DSM":[88],"an":[90,236],"aerial":[91,237],"colour":[92],"ortho":[93],"image.":[94],"In":[95],"addition,":[96],"shape":[97],"calculated":[99],"used.":[104],"training":[108],"presented":[111],"as":[112],"method,":[119,219],"which":[120],"constructed":[121],"automatically":[122],"a":[123,137,143,146,167,217,258],"each":[127,158],"test.":[128,159],"then":[132],"applied":[133],"to":[134,165,223],"separate":[138],"test":[139],"area.":[140],"Compared":[141],"with":[142,208,257],"map,":[145],"mean":[147],"accuracy":[148],"almost":[150],"90":[151],"%":[152],"achieved":[154],"in":[157,184,192,230],"method":[163],"appeared":[164],"be":[166,189,206],"feasible":[168],"highly":[170],"automatic":[171],"distinguishing":[174],"trees.":[177],"If":[178],"new":[179],"sources":[181],"become":[182],"available":[183],"future,":[186],"they":[187],"can":[188,205],"easily":[190],"included":[191],"process.":[195],"results":[197,204,254],"also":[198],"suggest":[199],"that":[200,260],"satisfactory":[201],"obtained":[207],"sources.":[214],"By":[215],"statistical":[218],"it":[220],"is":[221],"possible":[222],"find":[224],"useful":[225],"rules":[229],"cases.":[232],"use":[234],"image":[238],"both":[240],"does":[249],"not":[250],"necessarily":[251],"improve":[252],"significantly,":[255],"compared":[256],"uses":[261],"only":[262],"data.":[267],"1.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":7}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}
