{"id":"https://openalex.org/W4417283663","doi":"https://doi.org/10.1145/3748636.3762707","title":"Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior","display_name":"Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4417283663","doi":"https://doi.org/10.1145/3748636.3762707"},"language":"en","primary_location":{"id":"doi:10.1145/3748636.3762707","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762707","pdf_url":null,"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 33rd ACM 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://doi.org/10.1145/3748636.3762707","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031328594","display_name":"Lin Che","orcid":"https://orcid.org/0009-0005-2619-9382"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Lin Che","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0009-0005-2619-9382","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043612201","display_name":"Yizi Chen","orcid":"https://orcid.org/0000-0003-1637-0092"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Yizi Chen","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-1637-0092","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013727227","display_name":"Tanhua Jin","orcid":"https://orcid.org/0000-0001-6657-526X"},"institutions":[{"id":"https://openalex.org/I2801227569","display_name":"Ghent University Hospital","ror":"https://ror.org/00xmkp704","country_code":"BE","type":"healthcare","lineage":["https://openalex.org/I2801227569"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tanhua Jin","raw_affiliation_strings":["Ghent University, Ghent, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-6657-526X","affiliations":[{"raw_affiliation_string":"Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I2801227569"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004721499","display_name":"Martin Raubal","orcid":"https://orcid.org/0000-0001-5951-6835"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Martin Raubal","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0001-5951-6835","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005404030","display_name":"Konrad Schindler","orcid":"https://orcid.org/0000-0002-3172-9246"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Konrad Schindler","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-3172-9246","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015281762","display_name":"Peter Kiefer","orcid":"https://orcid.org/0000-0003-4457-0438"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Peter Kiefer","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0003-4457-0438","affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47074188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"28","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.3181000053882599,"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":0.3181000053882599,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.1712999939918518,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.16940000653266907,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.6906999945640564},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6550999879837036},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.46889999508857727},{"id":"https://openalex.org/keywords/urban-planning","display_name":"Urban planning","score":0.4431000053882599},{"id":"https://openalex.org/keywords/geotagging","display_name":"Geotagging","score":0.3626999855041504},{"id":"https://openalex.org/keywords/geovisualization","display_name":"Geovisualization","score":0.33809998631477356},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6906999945640564},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6550999879837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104999780654907},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.46889999508857727},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.45719999074935913},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3939000070095062},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3693999946117401},{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3578000068664551},{"id":"https://openalex.org/C12380541","wikidata":"https://www.wikidata.org/wiki/Q58300","display_name":"Geovisualization","level":4,"score":0.33809998631477356},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32030001282691956},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C41856607","wikidata":"https://www.wikidata.org/wiki/Q483130","display_name":"Geographic information system","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2874999940395355},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C184603391","wikidata":"https://www.wikidata.org/wiki/Q60738778","display_name":"Land-use planning","level":3,"score":0.27000001072883606},{"id":"https://openalex.org/C2778368647","wikidata":"https://www.wikidata.org/wiki/Q702492","display_name":"Urban area","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.26339998841285706}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3748636.3762707","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762707","pdf_url":null,"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 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"pmh:doi:10.3929/ethz-c-000787505","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/787505","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:archive.ugent.be:01KH8HJFVPNSA156KJAE9ATAW3","is_oa":true,"landing_page_url":"https://biblio.ugent.be/publication/01KH8HJFVPNSA156KJAE9ATAW3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISBN: 9798400720864","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1145/3748636.3762707","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3762707","pdf_url":null,"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 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1965177832","https://openalex.org/W1969732403","https://openalex.org/W1978338723","https://openalex.org/W2003425021","https://openalex.org/W2027556057","https://openalex.org/W2052611179","https://openalex.org/W2054658115","https://openalex.org/W2096733369","https://openalex.org/W2117304621","https://openalex.org/W2140232272","https://openalex.org/W2152640741","https://openalex.org/W2157231547","https://openalex.org/W2165558283","https://openalex.org/W2172422511","https://openalex.org/W2194775991","https://openalex.org/W2295936256","https://openalex.org/W2593685093","https://openalex.org/W2625259639","https://openalex.org/W2765793020","https://openalex.org/W2803946774","https://openalex.org/W2893256830","https://openalex.org/W2899247264","https://openalex.org/W2900849519","https://openalex.org/W2910555889","https://openalex.org/W2912944394","https://openalex.org/W2964294898","https://openalex.org/W2966050092","https://openalex.org/W2990500698","https://openalex.org/W2991488782","https://openalex.org/W3032896144","https://openalex.org/W3034363127","https://openalex.org/W3035524453","https://openalex.org/W3087124270","https://openalex.org/W3098776515","https://openalex.org/W3159492057","https://openalex.org/W3197958969","https://openalex.org/W3209946770","https://openalex.org/W3210212448","https://openalex.org/W4205779174","https://openalex.org/W4213418104","https://openalex.org/W4214510096","https://openalex.org/W4280639351","https://openalex.org/W4290992925","https://openalex.org/W4309651988","https://openalex.org/W4382405263","https://openalex.org/W4389455500","https://openalex.org/W4399880583","https://openalex.org/W4400613682"],"related_works":[],"abstract_inverted_index":{"Urban":[0],"land":[1,53,127,146,189],"use":[2,54,128,147,190],"classification":[3],"and":[4,13,48,78,123,192],"mapping":[5,191],"are":[6,183],"critical":[7],"for":[8,95],"urban":[9,25,57,85,136],"planning,":[10],"resource":[11],"management,":[12],"environmental":[14],"monitoring.":[15],"Existing":[16,59],"remote":[17],"sensing":[18],"techniques":[19],"often":[20],"lack":[21],"precision":[22],"in":[23,55],"complex":[24,56],"environments":[26],"due":[27],"to":[28,52,104,126,131,176,185],"the":[29,72,79,116,132,163],"absence":[30],"of":[31,74,81,115,135,155,167],"ground-level":[32,42],"details.":[33],"Unlike":[34],"aerial":[35],"perspectives,":[36],"street":[37,60,96,151,180],"view":[38,43,97,152,181],"images":[39,98,182],"provide":[40],"a":[41,100,111,121],"that":[44,141],"captures":[45],"more":[46],"human":[47],"social":[49],"activities":[50],"relevant":[51],"scenes.":[58],"view-based":[61],"methods":[62],"primarily":[63],"rely":[64],"on":[65,162],"supervised":[66],"classification,":[67],"which":[68],"is":[69,196],"challenged":[70],"by":[71],"scarcity":[73],"high-quality":[75],"labeled":[76],"data":[77,169],"difficulty":[80],"generalizing":[82],"across":[83],"diverse":[84],"landscapes.":[86],"This":[87],"study":[88],"introduces":[89],"an":[90],"unsupervised":[91,188],"contrastive":[92],"clustering":[93,106],"model":[94],"with":[99,110],"built-in":[101],"geographical":[102],"prior,":[103],"enhance":[105],"performance.":[107],"When":[108],"combined":[109],"simple":[112],"visual":[113],"assignment":[114],"clusters,":[117],"our":[118,142,159],"approach":[119],"offers":[120],"flexible":[122],"customizable":[124],"solution":[125],"mapping,":[129],"tailored":[130],"specific":[133],"needs":[134],"planners.":[137],"We":[138],"experimentally":[139],"show":[140],"method":[143],"can":[144,173],"generate":[145],"maps":[148],"from":[149],"geotagged":[150],"image":[153],"datasets":[154],"two":[156],"cities.":[157],"As":[158],"methodology":[160],"relies":[161],"universal":[164],"spatial":[165],"coherence":[166],"geospatial":[168],"(\"Tobler's":[170],"law\"),":[171],"it":[172],"be":[174],"adapted":[175],"various":[177],"settings":[178],"where":[179],"available,":[184],"enable":[186],"scalable,":[187],"updating.":[193],"The":[194],"code":[195],"available":[197],"at":[198],"https://github.com/lin102/CCGP.":[199]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-12-12T00:00:00"}