{"id":"https://openalex.org/W3109507857","doi":"https://doi.org/10.1145/3397536.3422240","title":"\"Reading\" cities with computer vision","display_name":"\"Reading\" cities with computer vision","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3109507857","doi":"https://doi.org/10.1145/3397536.3422240","mag":"3109507857"},"language":"en","primary_location":{"id":"doi:10.1145/3397536.3422240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3397536.3422240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3397536.3422240","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3397536.3422240","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048127669","display_name":"Zhou Fang","orcid":"https://orcid.org/0000-0002-5389-6694"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Zhou Fang","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016137773","display_name":"Jiaxin Qi","orcid":"https://orcid.org/0009-0000-7127-7400"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiaxin Qi","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055842079","display_name":"Tianren Yang","orcid":"https://orcid.org/0000-0002-3547-5853"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tianren Yang","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102024715","display_name":"Li Wan","orcid":"https://orcid.org/0000-0002-6266-4625"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Li Wan","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044914203","display_name":"Ying Jin","orcid":"https://orcid.org/0000-0003-2683-6829"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ying Jin","raw_affiliation_strings":["University of Cambridge, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048127669"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.7546,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79290147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"517"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9882000088691711,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9882000088691711,"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/T12325","display_name":"Urban Design and Spatial Analysis","score":0.9821000099182129,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7090697288513184},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.6151311993598938},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5329232215881348},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5100868344306946},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5066200494766235},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48474451899528503},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47172823548316956},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4592788517475128},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43674683570861816},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.43095099925994873},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.42091432213783264},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4118073880672455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32668352127075195},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22186627984046936},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.19973814487457275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11975803971290588},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.11676260828971863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7090697288513184},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.6151311993598938},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5329232215881348},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5100868344306946},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5066200494766235},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48474451899528503},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47172823548316956},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4592788517475128},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43674683570861816},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.43095099925994873},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.42091432213783264},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4118073880672455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32668352127075195},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22186627984046936},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.19973814487457275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11975803971290588},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.11676260828971863},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397536.3422240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3397536.3422240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3397536.3422240","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3397536.3422240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3397536.3422240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3397536.3422240","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3109507857.pdf","grobid_xml":"https://content.openalex.org/works/W3109507857.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1529253181","https://openalex.org/W1557948388","https://openalex.org/W1686810756","https://openalex.org/W2027451692","https://openalex.org/W2042741439","https://openalex.org/W2092394546","https://openalex.org/W2112796928","https://openalex.org/W2115733720","https://openalex.org/W2163605009","https://openalex.org/W2791347362","https://openalex.org/W2804812975","https://openalex.org/W2885709013","https://openalex.org/W2887280559","https://openalex.org/W2917749783","https://openalex.org/W2964876460","https://openalex.org/W3032775801"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2751208925","https://openalex.org/W2347541121","https://openalex.org/W4212929323","https://openalex.org/W4288804799","https://openalex.org/W3089617106","https://openalex.org/W2045046253","https://openalex.org/W3032237421","https://openalex.org/W2080951048","https://openalex.org/W2000995042"],"abstract_inverted_index":{"This":[0],"paper":[1,121],"builds":[2],"on":[3,76,226],"the":[4,123,130,184,196,201,208,219],"proven":[5],"track":[6],"record":[7],"of":[8,26,31,41,82,104,128,167,200,221],"CNN-based":[9],"pattern":[10,135,175],"recognition":[11],"and":[12,16,47,65,69,99,111,137,177,213,223],"feature":[13],"extraction":[14],"methods,":[15],"reports":[17],"a":[18,77,164],"novel":[19,78],"model":[20,117,214],"that":[21,125,158,183],"classifies":[22],"urban":[23,42,79,133,148,168,173],"fabric":[24,43,80,134,149,169,174],"samples":[25],"metropolitan":[27,84],"areas":[28,85],"in":[29,119,205],"terms":[30],"(1)":[32],"which":[33,49,102],"city":[34,131],"they":[35,44,52],"belong":[36,45],"to,":[37,46],"(2)":[38],"what":[39],"types":[40,176],"(3)":[48],"historic":[50],"period":[51],"originate":[53],"from.":[54],"Currently,":[55],"such":[56],"tasks":[57],"require":[58],"intensive":[59],"manual":[60],"work":[61,73],"by":[62,145,189],"senior":[63],"professionals,":[64],"even":[66],"then,":[67],"inconsistencies":[68],"errors":[70],"occur.":[71],"Our":[72],"is":[74,122,126,142],"based":[75],"dataset":[81,212],"four":[83],"with":[86,207],"distinct":[87],"typologies":[88],"(linear":[89],"development,":[90],"open":[91],"block,":[92],"gated":[93],"compound,":[94],"medieval":[95],"region,":[96],"irregular":[97],"grid":[98],"orthogonal":[100],"gird),":[101],"consist":[103],"high":[105],"resolution":[106],"3-dimensional":[107],"built":[108],"form":[109],"data":[110],"hierarchical":[112],"street":[113],"networks.":[114],"The":[115,140,155,211],"classification":[116,209],"presented":[118],"this":[120,159],"first":[124],"capable":[127],"predicting":[129],"origin,":[132],"type":[136],"construction":[138],"period.":[139],"novelty":[141],"also":[143],"characterised":[144],"jointly":[146],"considering":[147],"features":[150,170],"across":[151,171],"multiple":[152,202],"spatial":[153,203],"scales.":[154],"experiments":[156],"demonstrate":[157],"multi-scale":[160],"approach":[161],"can":[162,186,215],"capture":[163],"wide":[165],"range":[166],"cities,":[172],"development":[178],"periods.":[179],"We":[180],"further":[181],"find":[182],"effectiveness":[185],"be":[187],"enhanced":[188],"appending":[190],"an":[191],"auxiliary":[192],"network":[193],"for":[194],"identifying":[195],"most":[197],"appropriate":[198],"combinations":[199],"scales":[204],"line":[206],"task.":[210],"massively":[216],"scale":[217],"up":[218],"productivity":[220],"researchers":[222],"professionals":[224],"working":[225],"cities.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}