{"id":"https://openalex.org/W7117580625","doi":"https://doi.org/10.1080/17538947.2025.2607168","title":"Topology-aware visual localization: a graph-based framework for content-driven geolocation","display_name":"Topology-aware visual localization: a graph-based framework for content-driven geolocation","publication_year":2025,"publication_date":"2025-12-30","ids":{"openalex":"https://openalex.org/W7117580625","doi":"https://doi.org/10.1080/17538947.2025.2607168"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2025.2607168","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2607168","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2025.2607168?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2025.2607168?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102948994","display_name":"Weiyi Chen","orcid":"https://orcid.org/0009-0000-6468-1296"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiyi Chen","raw_affiliation_strings":["Beijing Institute of Technology Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology Department of Automation","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104315849","display_name":"Jinchao Gui","orcid":"https://orcid.org/0009-0005-8609-3280"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchao Gui","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121598697","display_name":"Hao Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Jin","raw_affiliation_strings":["China Electronics Technology Group Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Electronics Technology Group Corporation","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121528298","display_name":"Lisha Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisha Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121590195","display_name":"Yuhao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhao Wang","raw_affiliation_strings":["Beijing Institute of Technology Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology Department of Automation","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121595219","display_name":"Kai Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Qin","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008321823","display_name":"Yuchen Li","orcid":"https://orcid.org/0009-0004-0083-2162"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Li","raw_affiliation_strings":["Chinese Academy of Sciences, Aerospace Information Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Aerospace Information Research Institute","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102948994","https://openalex.org/A5104315849"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":{"value":2390,"currency":"USD","value_usd":2390},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70784563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.7335000038146973,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.7335000038146973,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.13539999723434448,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.047600001096725464,"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/geolocation","display_name":"Geolocation","score":0.7153000235557556},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.592199981212616},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5080999732017517},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4945000112056732},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46320000290870667},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43290001153945923},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3671000003814697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36500000953674316}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7652000188827515},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.7153000235557556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6636000275611877},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.592199981212616},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5080999732017517},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4945000112056732},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3671000003814697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/17538947.2025.2607168","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2607168","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2025.2607168?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fbee69e2ff0c4b628f785e5e2a37d7a9","is_oa":true,"landing_page_url":"https://doaj.org/article/fbee69e2ff0c4b628f785e5e2a37d7a9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 19, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2025.2607168","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2025.2607168","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2025.2607168?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G807399062","display_name":null,"funder_award_id":"2021YFB1407002","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117580625.pdf","grobid_xml":"https://content.openalex.org/works/W7117580625.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W588994728","https://openalex.org/W1479797225","https://openalex.org/W2009727770","https://openalex.org/W2103163130","https://openalex.org/W2128750536","https://openalex.org/W2143062854","https://openalex.org/W2154887931","https://openalex.org/W2161316780","https://openalex.org/W2196674927","https://openalex.org/W2888645586","https://openalex.org/W2964213180","https://openalex.org/W2986943971","https://openalex.org/W3010665872","https://openalex.org/W3047616836","https://openalex.org/W3084103974","https://openalex.org/W3091131750","https://openalex.org/W3160043803","https://openalex.org/W3172964731","https://openalex.org/W3179539006","https://openalex.org/W3206077556","https://openalex.org/W3210429397","https://openalex.org/W3217745064","https://openalex.org/W4210395897","https://openalex.org/W4225151140","https://openalex.org/W4297883949","https://openalex.org/W4378651886","https://openalex.org/W4408743055","https://openalex.org/W6912494966"],"related_works":[],"abstract_inverted_index":{"Visual":[0],"positioning":[1,26,145,166],"is":[2,81],"a":[3,23,54,71,77,105,161],"crucial":[4],"technology":[5],"for":[6,14,122,134],"localization":[7],"in":[8,42,89],"GNSS-denied":[9],"environments,":[10],"forming":[11],"the":[12,38,85,90,141,169],"basis":[13],"scene":[15],"understanding":[16],"and":[17,62,87,112,125,167],"accurate":[18],"interaction.":[19],"This":[20,158],"paper":[21],"proposes":[22],"graph-driven":[24],"visual":[25,66,96,165,176],"framework":[27,45,142],"that":[28,140],"combines":[29],"knowledge":[30,56,91,107,173],"graphs":[31,174],"with":[32,109,151],"deep":[33,115],"neural":[34,74,79,128],"networks":[35,129],"to":[36,83,98,118,130,148,164],"determine":[37],"position":[39],"of":[40,47,171],"targets":[41],"images.":[43],"The":[44,101],"consists":[46],"three":[48],"main":[49],"steps.":[50],"First,":[51],"we":[52],"construct":[53],"multimodal":[55,106],"graph":[57,78,108,127],"by":[58],"integrating":[59,172],"images,":[60],"text,":[61],"structured":[63,132],"data.":[64],"Second,":[65],"features":[67,121],"are":[68],"extracted":[69],"using":[70],"pre-trained":[72],"convolutional":[73],"network.":[75],"Third,":[76],"network":[80],"used":[82],"model":[84],"entities":[86,111],"relationships":[88],"graph,":[92],"enabling":[93],"reasoning":[94],"from":[95],"data":[97],"spatial":[99],"information.":[100],"proposed":[102],"method":[103],"leverages":[104],"diverse":[110],"relationships,":[113],"employs":[114],"learning":[116],"models":[117],"extract":[119],"image":[120,135],"semantic":[123],"representation,":[124],"utilizes":[126],"process":[131],"information":[133],"localization.":[136],"Experimental":[137],"results":[138],"show":[139],"achieves":[143],"higher":[144],"accuracy":[146],"compared":[147],"traditional":[149],"methods,":[150],"reduced":[152],"errors":[153],"across":[154],"different":[155],"distance":[156],"ranges.":[157],"study":[159],"provides":[160],"new":[162],"approach":[163],"demonstrates":[168],"potential":[170],"into":[175],"applications.":[177]},"counts_by_year":[],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-12-30T00:00:00"}
