{"id":"https://openalex.org/W4308207721","doi":"https://doi.org/10.3390/rs14215564","title":"Mapping Irregular Local Climate Zones from Sentinel-2 Images Using Deep Learning with Sequential Virtual Scenes","display_name":"Mapping Irregular Local Climate Zones from Sentinel-2 Images Using Deep Learning with Sequential Virtual Scenes","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4308207721","doi":"https://doi.org/10.3390/rs14215564"},"language":"en","primary_location":{"id":"doi:10.3390/rs14215564","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215564","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5564/pdf?version=1667557083","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/21/5564/pdf?version=1667557083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047290818","display_name":"Qianxiang Yao","orcid":"https://orcid.org/0009-0008-3790-4851"},"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":false,"raw_author_name":"Qianxiang Yao","raw_affiliation_strings":["Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633103","display_name":"Hui Li","orcid":"https://orcid.org/0000-0002-0646-8371"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"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":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","School of Earth Sciences, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Earth Sciences, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085917066","display_name":"Peng Gao","orcid":"https://orcid.org/0000-0002-5176-628X"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]},{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Gao","raw_affiliation_strings":["Department of Earth and Ocean Sciences, University of North Carolina, Wilmington, NC 28403, USA","Department of Geography, University of South Carolina, Columbia, SC 29208, USA"],"affiliations":[{"raw_affiliation_string":"Department of Earth and Ocean Sciences, University of North Carolina, Wilmington, NC 28403, USA","institution_ids":["https://openalex.org/I153901656"]},{"raw_affiliation_string":"Department of Geography, University of South Carolina, Columbia, SC 29208, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012324161","display_name":"Haojia Guo","orcid":null},"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":false,"raw_author_name":"Haojia Guo","raw_affiliation_strings":["Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002081706","display_name":"Cheng Zhong","orcid":"https://orcid.org/0009-0001-2135-2959"},"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":"Cheng Zhong","raw_affiliation_strings":["Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Badong National Observation and Research Station of Geohazards, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]},{"raw_affiliation_string":"Three Gorges Research Center for Geo-Hazard, Ministry of Education, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002081706"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.6924,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.64610188,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"14","issue":"21","first_page":"5564","last_page":"5564"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9997000098228455,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9997000098228455,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.783187747001648},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805863738059998},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5539360642433167},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5349131226539612},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.5126835107803345},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45523762702941895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43875256180763245},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4228653609752655},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42263635993003845},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4176875650882721},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4076230525970459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38503342866897583},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20435556769371033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10161334276199341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.783187747001648},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805863738059998},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5539360642433167},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5349131226539612},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.5126835107803345},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45523762702941895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43875256180763245},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4228653609752655},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42263635993003845},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4176875650882721},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4076230525970459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38503342866897583},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20435556769371033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10161334276199341},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14215564","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215564","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5564/pdf?version=1667557083","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:64c7d6e77aa245d284d15e165d038b88","is_oa":true,"landing_page_url":"https://doaj.org/article/64c7d6e77aa245d284d15e165d038b88","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 21, p 5564 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/21/5564/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14215564","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 21; Pages: 5564","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14215564","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14215564","pdf_url":"https://www.mdpi.com/2072-4292/14/21/5564/pdf?version=1667557083","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1227093644","display_name":null,"funder_award_id":"KF- 2020-05-007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2268241509","display_name":null,"funder_award_id":"No. BNORSG-202104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2596079080","display_name":null,"funder_award_id":"No. 2021BID009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2662995185","display_name":null,"funder_award_id":"No. YNLH202011010793/A","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3537633596","display_name":null,"funder_award_id":"202104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4234792420","display_name":null,"funder_award_id":"41772352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4255098482","display_name":null,"funder_award_id":"No. 41772352","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7008394608","display_name":null,"funder_award_id":"No. 202235","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308207721.pdf","grobid_xml":"https://content.openalex.org/works/W4308207721.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2030737358","https://openalex.org/W2036610344","https://openalex.org/W2052326455","https://openalex.org/W2056435747","https://openalex.org/W2061048346","https://openalex.org/W2074448420","https://openalex.org/W2194775991","https://openalex.org/W2597563280","https://openalex.org/W2623639232","https://openalex.org/W2715000296","https://openalex.org/W2725897987","https://openalex.org/W2753093605","https://openalex.org/W2791956878","https://openalex.org/W2894659225","https://openalex.org/W2913594625","https://openalex.org/W2936025093","https://openalex.org/W2941060156","https://openalex.org/W2949351478","https://openalex.org/W2963351448","https://openalex.org/W2973244992","https://openalex.org/W2991345892","https://openalex.org/W2999853307","https://openalex.org/W3024333596","https://openalex.org/W3031928995","https://openalex.org/W3159093802","https://openalex.org/W3159424583","https://openalex.org/W6739901393","https://openalex.org/W6740043113","https://openalex.org/W6744072370","https://openalex.org/W7018294876"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W17155033","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W4387399830","https://openalex.org/W1994643058"],"abstract_inverted_index":{"Recently,":[0],"the":[1,12,61,72,78,143,153,168,176,183,190,207],"local":[2,18],"climate":[3],"zone":[4],"(LCZ)":[5],"system":[6],"has":[7,206],"been":[8],"presented":[9,113],"to":[10,27,114,151,166,182,220,231],"establish":[11],"connection":[13],"between":[14,185],"urban":[15],"landscape":[16],"and":[17,69,80,99,121,134,189,203,205,234],"thermal":[19],"environment.":[20],"However,":[21,77],"LCZ":[22,75,94,116,213,223],"entities":[23,95,117,133],"are":[24,39],"very":[25],"difficult":[26],"be":[28],"identified":[29],"by":[30],"pixel-based":[31],"classifiers":[32],"or":[33,63],"object-oriented":[34],"image":[35,67,82],"analysis,":[36],"as":[37,89],"they":[38,90],"often":[40,84],"a":[41,107,126,161,217],"complicated":[42],"combination":[43],"of":[44,66,74,96,118,125,170,178,210,227],"multiple":[45],"ground":[46],"objects":[47],"(e.g.,":[48],"buildings,":[49],"roads,":[50],"grassland,":[51],"etc.).":[52],"Scene":[53],"classifiers,":[54],"especially":[55],"deep":[56],"learning":[57],"methods":[58],"can":[59],"exploit":[60],"structure":[62],"contextual":[64],"information":[65],"scenes":[68,137],"then":[70],"improve":[71],"performance":[73],"classification.":[76],"square":[79],"uniform-sized":[81],"patches":[83],"bring":[85],"about":[86],"extra":[87],"challenges,":[88],"cannot":[91],"exactly":[92],"match":[93],"diverse":[97,119,132],"sizes":[98],"shapes":[100,120],"in":[101,225],"most":[102],"cases.":[103],"In":[104],"this":[105],"study,":[106],"sequential":[108,135],"virtual":[109,136,157,172],"scene":[110,173],"method":[111],"is":[112,164,216],"identify":[115],"sizes,":[122],"which":[123],"consists":[124],"small":[127],"\u201ccore":[128],"patch\u201d":[129],"for":[130,138,174],"scanning":[131],"providing":[139],"abundant":[140],"context.":[141],"Specifically,":[142],"Bidirectional":[144],"Long":[145],"Short-Term":[146],"Memory":[147],"(Bi-LSTM)":[148],"were":[149],"used":[150],"learn":[152],"spatial":[154],"relationship":[155],"among":[156],"scenes,":[158],"respectively.":[159],"Importantly,":[160],"\u201cself-attention\u201d":[162],"mechanism":[163],"designed":[165],"weigh":[167],"contribution":[169],"every":[171],"alleviating":[175],"influences":[177],"mixed":[179],"patches,":[180],"according":[181],"similarity":[184],"its":[186,232],"hidden":[187,192],"state":[188],"final":[191],"state.":[193],"Experiments":[194],"prove":[195],"SVS":[196],"achieves":[197],"better":[198],"accuracies":[199],"than":[200],"random":[201],"forest":[202],"ResNet":[204],"outstanding":[208],"capacity":[209],"identifying":[211],"irregular":[212],"entities.":[214],"It":[215],"promising":[218],"way":[219],"carry":[221],"out":[222],"mapping":[224],"cities":[226],"different":[228],"types":[229],"due":[230],"flexibility":[233],"adaptability.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}