{"id":"https://openalex.org/W2557323006","doi":"https://doi.org/10.1080/13658816.2016.1265121","title":"The analysis and measurement of building patterns using texton co-occurrence matrices","display_name":"The analysis and measurement of building patterns using texton co-occurrence matrices","publication_year":2016,"publication_date":"2016-12-04","ids":{"openalex":"https://openalex.org/W2557323006","doi":"https://doi.org/10.1080/13658816.2016.1265121","mag":"2557323006"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2016.1265121","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2016.1265121","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","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/A5039394884","display_name":"Wenhao Yu","orcid":"https://orcid.org/0000-0003-1521-2674"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Yu","raw_affiliation_strings":["Faculty of Information Engineering, China University of Geosciences, Wuhan, China; School of Marine Science and Technology, Tianjin University, Tianjin, China","Faculty of Information Engineering, China University of Geosciences, Wuhan, China","School of Marine Science and Technology, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, China University of Geosciences, Wuhan, China; School of Marine Science and Technology, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Faculty of Information Engineering, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"School of Marine Science and Technology, Tianjin University, Tianjin, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029956180","display_name":"Tinghua Ai","orcid":"https://orcid.org/0000-0002-6581-9872"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tinghua Ai","raw_affiliation_strings":["School of Resource and Environment Sciences, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environment Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449822","display_name":"Pengcheng Liu","orcid":"https://orcid.org/0000-0002-0874-1538"},"institutions":[{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Liu","raw_affiliation_strings":["College of Urban and Environmental Science, Central China Normal University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"College of Urban and Environmental Science, Central China Normal University, Wuhan, China","institution_ids":["https://openalex.org/I40963666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058790164","display_name":"Xiaoqiang Cheng","orcid":"https://orcid.org/0000-0003-1737-0596"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Cheng","raw_affiliation_strings":["Faculty of Resources and Environmental Science, Hubei University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Resources and Environmental Science, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039394884"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":null,"apc_paid":null,"fwci":2.3381,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92619195,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9950000047683716,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9918000102043152,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5870359539985657},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.5428116917610168},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5271291732788086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5209183096885681},{"id":"https://openalex.org/keywords/tessellation","display_name":"Tessellation (computer graphics)","score":0.516182005405426},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5114242434501648},{"id":"https://openalex.org/keywords/voronoi-diagram","display_name":"Voronoi diagram","score":0.4693124294281006},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4386233985424042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4367879033088684},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28032422065734863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1097089946269989}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5870359539985657},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.5428116917610168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5271291732788086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5209183096885681},{"id":"https://openalex.org/C43817857","wikidata":"https://www.wikidata.org/wiki/Q9357547","display_name":"Tessellation (computer graphics)","level":2,"score":0.516182005405426},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5114242434501648},{"id":"https://openalex.org/C24881265","wikidata":"https://www.wikidata.org/wiki/Q757267","display_name":"Voronoi diagram","level":2,"score":0.4693124294281006},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4386233985424042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4367879033088684},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28032422065734863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1097089946269989},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2016.1265121","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2016.1265121","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G1160304869","display_name":null,"funder_award_id":"41501443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4403639087","display_name":null,"funder_award_id":"41531180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W64370897","https://openalex.org/W1502961470","https://openalex.org/W1554437751","https://openalex.org/W1655554306","https://openalex.org/W1930250541","https://openalex.org/W1979007801","https://openalex.org/W1979058164","https://openalex.org/W1988396916","https://openalex.org/W2006957609","https://openalex.org/W2024049367","https://openalex.org/W2026723939","https://openalex.org/W2032533296","https://openalex.org/W2035846044","https://openalex.org/W2044465660","https://openalex.org/W2053719960","https://openalex.org/W2057720927","https://openalex.org/W2072662891","https://openalex.org/W2087072474","https://openalex.org/W2115475055","https://openalex.org/W2124258270","https://openalex.org/W2125148312","https://openalex.org/W2126886936","https://openalex.org/W2162530792","https://openalex.org/W2413041202","https://openalex.org/W4210602482","https://openalex.org/W4233387036","https://openalex.org/W4237948457","https://openalex.org/W4244687281"],"related_works":["https://openalex.org/W1481755670","https://openalex.org/W2354869996","https://openalex.org/W2359751290","https://openalex.org/W2206755844","https://openalex.org/W98646666","https://openalex.org/W431872879","https://openalex.org/W2371448287","https://openalex.org/W2358109229","https://openalex.org/W2096247527","https://openalex.org/W1997141012"],"abstract_inverted_index":{"The":[0,19,84,112,137],"representation":[1],"and":[2,13,36,52,96,177,206],"analysis":[3,28,63,163,205],"of":[4,21,33,46,86,109,129,134,139,184,197,214,217,224],"building":[5,22,50,93,110,140,198,203,218],"patterns":[6,23,51,219],"are":[7,66,77,220],"critical":[8],"for":[9,48,55,69,81],"characterizing":[10],"urban":[11,17],"scenes":[12],"making":[14],"decisions":[15],"in":[16,40,149],"planning.":[18],"evaluation":[20,216],"is":[24,89,187],"a":[25,98,116,121,127,132,143,166,182],"difficult":[26],"spatial":[27,117,207],"problem":[29],"that":[30,150,211],"exhibits":[31],"properties":[32],"symbolization,":[34],"homogeneity":[35],"regularity.":[37],"Open":[38],"issues":[39],"this":[41,87],"field":[42,118],"include":[43],"the":[44,61,107,161,170,174,190,194,212],"development":[45],"approaches":[47],"representing":[49],"vector-based":[53],"methods":[54,68],"computing":[56],"various":[57],"pattern":[58,70,94,204],"metrics.":[59],"In":[60],"image":[62,147,156],"domain,":[64],"there":[65,76],"many":[67],"recognition":[71],"(e.g.,":[72],"texture":[73],"analysis),":[74],"but":[75],"few":[78],"corresponding":[79],"solutions":[80],"vector":[82],"data.":[83],"aim":[85],"research":[88],"to":[90,104,125,154,164,168,192],"develop":[91],"several":[92],"metrics":[95],"offer":[97],"texton":[99,162],"co-occurrence":[100],"matrix":[101,167],"(TCM)-based":[102],"method":[103],"quantitatively":[105],"evaluate":[106],"features":[108],"patterns.":[111],"procedure":[113],"first":[114],"constructs":[115],"based":[119],"on":[120,202],"Delaunay":[122],"triangulation":[123],"skeleton":[124],"partition":[126],"set":[128,133,183],"buildings":[130],"into":[131],"tessellation":[135,171],"cells.":[136],"tessellations":[138],"clusters":[141],"have":[142],"similar":[144],"structure":[145],"as":[146],"representations,":[148],"each":[151],"cell":[152],"corresponds":[153],"an":[155],"pixel.":[157],"We":[158],"then":[159],"use":[160],"establish":[165],"describe":[169],"structure,":[172],"including":[173],"neighboring":[175],"relationships":[176],"individual":[178],"attribute":[179],"information.":[180],"Finally,":[181],"feature":[185],"descriptors":[186],"obtained":[188],"from":[189],"TCM":[191],"capture":[193],"texture-related":[195],"information":[196],"groups.":[199],"Through":[200],"experiments":[201],"queries,":[208],"we":[209],"show":[210],"results":[213],"TCM-based":[215],"consistent":[221],"with":[222],"those":[223],"human":[225],"cognition.":[226]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
