{"id":"https://openalex.org/W2088953260","doi":"https://doi.org/10.1080/10824000609480622","title":"An Automatic Method for Matching 2D ADS40 Images onto a 3D Surface Model","display_name":"An Automatic Method for Matching 2D ADS40 Images onto a 3D Surface Model","publication_year":2006,"publication_date":"2006-12-01","ids":{"openalex":"https://openalex.org/W2088953260","doi":"https://doi.org/10.1080/10824000609480622","mag":"2088953260"},"language":"en","primary_location":{"id":"doi:10.1080/10824000609480622","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10824000609480622","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10824000609480622?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/10824000609480622?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100412083","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0003-0917-5475"},"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":"Zhen Liu","raw_affiliation_strings":["College of Educational Information Technology, Beijing Normal University, 100875 E-mail: liuzhen@bnu.edu.cn ; Center of Information & Network Technology, Beijing Normal University, 100875","Center of Information & Network Technology, Beijing Normal University , 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Educational Information Technology, Beijing Normal University, 100875 E-mail: liuzhen@bnu.edu.cn ; Center of Information & Network Technology, Beijing Normal University, 100875","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Center of Information & Network Technology, Beijing Normal University , 100875","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059264917","display_name":"Peng Gong","orcid":"https://orcid.org/0000-0003-1513-3765"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Gong","raw_affiliation_strings":["Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720-3114, USA","Department of Environmental Science, Policy, and Management , University of California , Berkeley , CA , 94720-3114 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Environmental Science, Policy, and Management, University of California, Berkeley, CA, 94720-3114, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"Department of Environmental Science, Policy, and Management , University of California , Berkeley , CA , 94720-3114 , USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053353190","display_name":"Peijun Shi","orcid":"https://orcid.org/0000-0002-2968-7331"},"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":"Peijun Shi","raw_affiliation_strings":["College of Resource Science & Technology, Beijing Normal University, 100875","College of Resource Science & Technology, Beijing Normal University , 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resource Science & Technology, Beijing Normal University, 100875","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"College of Resource Science & Technology, Beijing Normal University , 100875","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017332668","display_name":"Houwu Chen","orcid":null},"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":"Houwu Chen","raw_affiliation_strings":["Center of Information & Network Technology, Beijing Normal University, 100875","Center of Information & Network Technology, Beijing Normal University , 100875"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center of Information & Network Technology, Beijing Normal University, 100875","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"Center of Information & Network Technology, Beijing Normal University , 100875","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030734334","display_name":"T. Sasagawa","orcid":"https://orcid.org/0000-0003-0149-6696"},"institutions":[{"id":"https://openalex.org/I4210109629","display_name":"GC Corporation (Japan)","ror":"https://ror.org/01jrqwn31","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210109629"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T Sasagawa","raw_affiliation_strings":["Institute of GIS, Pasco Corp, Tokyo","Institute of GIS, Pasco Corp , Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of GIS, Pasco Corp, Tokyo","institution_ids":["https://openalex.org/I4210109629"]},{"raw_affiliation_string":"Institute of GIS, Pasco Corp , Tokyo","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14000794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"2","first_page":"92","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7753296494483948},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.745629608631134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5793267488479614},{"id":"https://openalex.org/keywords/parallelogram","display_name":"Parallelogram","score":0.5530093312263489},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.5344293117523193},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5029796957969666},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42450380325317383},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4233250916004181},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.39368000626564026},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38035517930984497},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2923559546470642},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23673245310783386}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7753296494483948},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.745629608631134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5793267488479614},{"id":"https://openalex.org/C53118041","wikidata":"https://www.wikidata.org/wiki/Q45867","display_name":"Parallelogram","level":3,"score":0.5530093312263489},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.5344293117523193},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5029796957969666},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42450380325317383},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4233250916004181},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.39368000626564026},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38035517930984497},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2923559546470642},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23673245310783386},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10824000609480622","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10824000609480622","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10824000609480622?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/10824000609480622","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10824000609480622","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10824000609480622?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1082-4006","issn":["1082-4006","1947-5683","1947-5691","2374-9318"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2088953260.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W76377533","https://openalex.org/W217217970","https://openalex.org/W1513966746","https://openalex.org/W1548836129","https://openalex.org/W1947774721","https://openalex.org/W2059888587","https://openalex.org/W2085978796","https://openalex.org/W2107432977","https://openalex.org/W2128147491","https://openalex.org/W2145023731","https://openalex.org/W2154748180","https://openalex.org/W2170522919","https://openalex.org/W2371485410","https://openalex.org/W2385073165","https://openalex.org/W2900551493","https://openalex.org/W4200268060","https://openalex.org/W4285719527","https://openalex.org/W4293052488","https://openalex.org/W7066155988"],"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/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2015446345","https://openalex.org/W2116510815"],"abstract_inverted_index":{"An":[0],"automatic":[1,82],"method":[2],"is":[3,146,155,190,229,236,254],"developed":[4],"here":[5],"to":[6,54,72,165,173,183,195,256],"paste":[7],"aerial":[8,33],"images":[9,47,67,164,211],"onto":[10,48],"an":[11,32,37,81,108,112],"urban":[12,29],"3D":[13,50,73,83,166,227,258,264],"surface":[14,51,265],"model":[15,52,216,228,266],"for":[16,151],"more":[17],"realistic":[18],"visualization.":[19],"In":[20,205],"this":[21,206],"study":[22],"we":[23,88,208],"extracted":[24,223],"different":[25],"side":[26],"views":[27,260],"of":[28,101,178],"constructions":[30],"from":[31,66],"image":[34,59,84,243],"acquired":[35],"with":[36,116],"airborne":[38],"linear":[39],"scanner":[40],"sensor.":[41],"We":[42,127],"then":[43],"matched":[44],"those":[45,70],"sideview":[46,251],"a":[49,90,95,104,119,123,129,170,218,263,268],"according":[53],"the":[55,58,102,185,196,214,222,226,233,241,245],"correspondence":[56],"between":[57,221,238],"and":[60,68,122,132,145,159,225,244,267],"model.":[61],"Side":[62],"view":[63],"feature":[64,97,252],"extraction":[65,134],"matching":[69,186,220],"features":[71],"models":[74,167],"are":[75],"two":[76],"key":[77],"steps":[78],"in":[79,240],"developing":[80],"modelling":[85],"technique.":[86],"Here":[87],"present":[89],"new":[91],"line-extraction":[92],"approach":[93],"using":[94],"multiple-level":[96],"filter,":[98,111],"which":[99,250],"consists":[100],"following:":[103],"Canny":[105],"edge":[106,109,113],"detector,":[107],"phase":[110],"direction":[114],"filter":[115],"fault":[117],"tolerance,":[118],"Hough":[120],"transformer,":[121],"neighbouring":[124],"line-segment":[125],"fuser.":[126],"propose":[128],"base-line":[130],"segmentation":[131],"parallelogram":[133,224],"algorithm":[135,141],"based":[136,147,212,248,261],"on":[137,148,213,249,262],"perceptual":[138],"organization.":[139],"The":[140],"employs":[142],"uncertainty":[143],"reasoning":[144],"part":[149],"forms":[150],"shape":[152],"expression.":[153],"It":[154],"computationally":[156],"less":[157],"intensive":[158],"noise":[160],"free.":[161],"Matching":[162],"2D":[163,269],"requires":[168],"finding":[169],"transformation":[171],"matrix":[172],"minimize":[174],"error.":[175],"A":[176],"lot":[177],"algorithms":[179],"have":[180],"been":[181],"presented":[182],"solve":[184],"problem.":[187],"However,":[188],"there":[189],"still":[191],"no":[192],"good":[193],"solution":[194],"problem":[197],"as":[198],"it":[199],"has":[200],"too":[201],"many":[202],"unknown":[203],"parameters.":[204],"research,":[207],"first":[209],"project":[210],"camera":[215],"after":[217],"partial":[219],"carried":[230],"out.":[231],"Then,":[232],"Hausdorff":[234],"distance":[235],"calculated":[237],"edges":[239],"original":[242],"projected":[246],"image,":[247],"mapping":[253],"realized":[255],"obtain":[257],"virtual":[259],"image.":[270]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}