{"id":"https://openalex.org/W4387802313","doi":"https://doi.org/10.1109/igarss52108.2023.10282482","title":"Self-Supervised Temporal Analysis of Spatiotemporal Data","display_name":"Self-Supervised Temporal Analysis of Spatiotemporal Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802313","doi":"https://doi.org/10.1109/igarss52108.2023.10282482"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10282482","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5101503400","display_name":"Yi Cao","orcid":"https://orcid.org/0000-0003-3988-837X"},"institutions":[{"id":"https://openalex.org/I4210107260","display_name":"Apple (United Kingdom)","ror":"https://ror.org/01vpeym60","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210107260"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yi Cao","raw_affiliation_strings":["Apple"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple","institution_ids":["https://openalex.org/I4210107260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050692100","display_name":"Swetava Ganguli","orcid":"https://orcid.org/0000-0002-7392-4867"},"institutions":[{"id":"https://openalex.org/I4210107260","display_name":"Apple (United Kingdom)","ror":"https://ror.org/01vpeym60","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210107260"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Swetava Ganguli","raw_affiliation_strings":["Apple"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple","institution_ids":["https://openalex.org/I4210107260"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038217225","display_name":"Vipul Pandey","orcid":"https://orcid.org/0000-0003-2063-8645"},"institutions":[{"id":"https://openalex.org/I4210107260","display_name":"Apple (United Kingdom)","ror":"https://ror.org/01vpeym60","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210107260"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Vipul Pandey","raw_affiliation_strings":["Apple"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Apple","institution_ids":["https://openalex.org/I4210107260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210107260"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23973976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4856","last_page":"4859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7405356764793396},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6967107057571411},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6636465787887573},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5845173597335815},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5730186700820923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5714113712310791},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5567695498466492},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5069711208343506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48706939816474915},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.47445806860923767},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39653658866882324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34585466980934143},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3280180096626282},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14865228533744812},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1408165991306305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405356764793396},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6967107057571411},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6636465787887573},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5845173597335815},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5730186700820923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5714113712310791},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5567695498466492},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5069711208343506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48706939816474915},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.47445806860923767},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39653658866882324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34585466980934143},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3280180096626282},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14865228533744812},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1408165991306305},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10282482","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10282482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1977752466","https://openalex.org/W2985441353","https://openalex.org/W3211848233","https://openalex.org/W4210616753","https://openalex.org/W4286379597","https://openalex.org/W4360610072"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2669956259","https://openalex.org/W4249005693"],"abstract_inverted_index":{"There":[0],"exists":[1],"a":[2,48],"correlation":[3],"between":[4],"geospatial":[5,78],"activity":[6,26],"temporal":[7,45,54,87],"patterns":[8,55],"and":[9,40,97,107],"type":[10],"of":[11,76,93],"land":[12],"use.":[13],"A":[14],"novel":[15],"self-supervised":[16],"approach":[17],"is":[18,34],"proposed":[19],"to":[20,36,65],"stratify":[21],"landscape":[22],"based":[23],"on":[24],"mobility":[25],"time":[27,31,58,94],"series.":[28,59],"First,":[29],"the":[30,37],"series":[32,95],"signal":[33],"transformed":[35],"frequency":[38],"domain":[39],"then":[41],"compressed":[42],"into":[43],"task-agnostic":[44],"embeddings":[46,62,88],"by":[47],"contractive":[49],"autoencoder,":[50],"which":[51],"preserves":[52],"cyclic":[53],"observed":[56],"in":[57],"The":[60],"pixel-wise":[61],"are":[63,89,98],"converted":[64],"image-like":[66],"channels":[67],"that":[68,86],"can":[69],"be":[70],"used":[71],"for":[72],"task-based,":[73],"multi-modal":[74],"modeling":[75],"downstream":[77],"tasks":[79,102],"using":[80],"deep":[81],"semantic":[82],"segmentation.":[83],"Experiments":[84],"show":[85],"semantically":[90],"meaningful":[91],"representations":[92],"data":[96],"effective":[99],"across":[100],"different":[101],"such":[103],"as":[104],"classifying":[105],"residential":[106],"commercial":[108],"areas.":[109]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}