{"id":"https://openalex.org/W4391822850","doi":"https://doi.org/10.3390/rs16040678","title":"GeoViewMatch: A Multi-Scale Feature-Matching Network for Cross-View Geo-Localization Using Swin-Transformer and Contrastive Learning","display_name":"GeoViewMatch: A Multi-Scale Feature-Matching Network for Cross-View Geo-Localization Using Swin-Transformer and Contrastive Learning","publication_year":2024,"publication_date":"2024-02-14","ids":{"openalex":"https://openalex.org/W4391822850","doi":"https://doi.org/10.3390/rs16040678"},"language":"en","primary_location":{"id":"doi:10.3390/rs16040678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040678","pdf_url":"https://www.mdpi.com/2072-4292/16/4/678/pdf?version=1707903025","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/2072-4292/16/4/678/pdf?version=1707903025","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101832290","display_name":"Wenhui Zhang","orcid":"https://orcid.org/0000-0003-1384-6825"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Zhang","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050406190","display_name":"Zhinong Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhinong Zhong","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353589","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-7880-3394"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Chen","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410073, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100727577","display_name":"Ning Jing","orcid":"https://orcid.org/0000-0003-3445-6658"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Jing","raw_affiliation_strings":["College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha 410073, China","institution_ids":["https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100353589"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I211433327"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.4445,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81694919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"16","issue":"4","first_page":"678","last_page":"678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5955988764762878},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5568286180496216},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5542821884155273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5197636485099792},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48254483938217163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4345695674419403},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.19881096482276917},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08593529462814331},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08432957530021667},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.05796778202056885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.053160250186920166},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.05160394310951233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5955988764762878},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5568286180496216},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5542821884155273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5197636485099792},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48254483938217163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4345695674419403},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.19881096482276917},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08593529462814331},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08432957530021667},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.05796778202056885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.053160250186920166},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.05160394310951233}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16040678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040678","pdf_url":"https://www.mdpi.com/2072-4292/16/4/678/pdf?version=1707903025","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:3380d1628e3e4f559d004effd792e151","is_oa":true,"landing_page_url":"https://doaj.org/article/3380d1628e3e4f559d004effd792e151","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 16, Iss 4, p 678 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16040678","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16040678","pdf_url":"https://www.mdpi.com/2072-4292/16/4/678/pdf?version=1707903025","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":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1151522064","display_name":null,"funder_award_id":"U19A2","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1356514951","display_name":null,"funder_award_id":"41971","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4282415395","display_name":null,"funder_award_id":"U19A2058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5980411448","display_name":null,"funder_award_id":"41971362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6058138561","display_name":null,"funder_award_id":", No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G623612507","display_name":null,"funder_award_id":"41871248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6837885870","display_name":null,"funder_award_id":"62106276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8144744298","display_name":null,"funder_award_id":"U19A205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391822850.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W104903125","https://openalex.org/W1883248133","https://openalex.org/W2081418428","https://openalex.org/W2108598243","https://openalex.org/W2163446794","https://openalex.org/W2199890863","https://openalex.org/W2284646714","https://openalex.org/W2479919622","https://openalex.org/W2572697301","https://openalex.org/W2598199894","https://openalex.org/W2798991696","https://openalex.org/W2799087793","https://openalex.org/W2963021791","https://openalex.org/W2963474852","https://openalex.org/W2964337214","https://openalex.org/W2965143341","https://openalex.org/W2970971581","https://openalex.org/W2971132234","https://openalex.org/W2997129483","https://openalex.org/W3005680577","https://openalex.org/W3034680896","https://openalex.org/W3035158519","https://openalex.org/W3035524453","https://openalex.org/W3081227581","https://openalex.org/W3088611441","https://openalex.org/W3100859887","https://openalex.org/W3116489684","https://openalex.org/W3120013642","https://openalex.org/W3129626847","https://openalex.org/W3138516171","https://openalex.org/W3145450063","https://openalex.org/W3174800995","https://openalex.org/W3179267034","https://openalex.org/W3207918547","https://openalex.org/W3212632252","https://openalex.org/W3212645988","https://openalex.org/W4206760693","https://openalex.org/W4282553729","https://openalex.org/W4312349930","https://openalex.org/W4312478462","https://openalex.org/W4312666187","https://openalex.org/W4312703192","https://openalex.org/W4327695706","https://openalex.org/W4386223445","https://openalex.org/W6739901393","https://openalex.org/W6761984235","https://openalex.org/W6779977557","https://openalex.org/W6803850277"],"related_works":["https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2350424104","https://openalex.org/W2152949619","https://openalex.org/W1090580760","https://openalex.org/W4365793569","https://openalex.org/W2389991515","https://openalex.org/W2395120299","https://openalex.org/W2499438468","https://openalex.org/W2479744187"],"abstract_inverted_index":{"Cross-view":[0],"geo-localization":[1,49],"aims":[2],"to":[3,20,103,128],"locate":[4],"street-view":[5,28,76],"images":[6,29,77],"by":[7],"matching":[8],"them":[9],"with":[10],"a":[11,91,110,125],"collection":[12],"of":[13,63,156],"GPS-tagged":[14],"remote":[15],"sensing":[16],"(RS)":[17],"images.":[18,64,82,117],"Due":[19],"the":[21,47,79,85,131,154,157,161],"significant":[22],"viewpoint":[23],"and":[24,30,72,78,93,123,135],"appearance":[25],"differences":[26],"between":[27,75],"RS":[31,81],"images,":[32],"this":[33,88],"task":[34],"is":[35],"highly":[36],"challenging.":[37],"While":[38],"deep":[39],"learning-based":[40],"methods":[41],"have":[42,53,152],"shown":[43],"their":[44],"dominance":[45],"in":[46,55,68,101,133],"cross-view":[48,98],"task,":[50],"existing":[51],"models":[52],"difficulties":[54],"extracting":[56,113,134],"comprehensive":[57,143],"meaningful":[58,137],"features":[59,115],"from":[60,116],"both":[61],"domains":[62],"This":[65],"limitation":[66],"results":[67,151],"not":[69],"establishing":[70],"accurate":[71],"robust":[73],"dependencies":[74],"corresponding":[80],"To":[83],"address":[84],"aforementioned":[86],"issues,":[87],"paper":[89],"proposes":[90],"novel":[92],"lightweight":[94],"neural":[95],"network":[96],"for":[97,112],"geo-localization.":[99],"Firstly,":[100],"order":[102],"capture":[104],"more":[105],"diverse":[106],"information,":[107],"we":[108,119,141],"propose":[109],"module":[111],"multi-scale":[114,138],"Secondly,":[118],"introduce":[120],"contrastive":[121,126],"learning":[122],"design":[124],"loss":[127],"further":[129],"enhance":[130],"robustness":[132],"aligning":[136],"features.":[139],"Finally,":[140],"conduct":[142],"experiments":[144],"on":[145],"two":[146],"open":[147],"benchmarks.":[148],"The":[149],"experimental":[150],"demonstrated":[153],"superiority":[155],"proposed":[158],"method":[159],"over":[160],"state-of-the-art":[162],"methods.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}