{"id":"https://openalex.org/W4415723998","doi":"https://doi.org/10.3390/ijgi14110425","title":"Cross-Context Aggregation for Multi-View Urban Scene and Building Facade Matching","display_name":"Cross-Context Aggregation for Multi-View Urban Scene and Building Facade Matching","publication_year":2025,"publication_date":"2025-10-31","ids":{"openalex":"https://openalex.org/W4415723998","doi":"https://doi.org/10.3390/ijgi14110425"},"language":"en","primary_location":{"id":"doi:10.3390/ijgi14110425","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110425","pdf_url":"https://www.mdpi.com/2220-9964/14/11/425/pdf?version=1761893267","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2220-9964/14/11/425/pdf?version=1761893267","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090552722","display_name":"Yaping Yan","orcid":"https://orcid.org/0000-0002-1933-732X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaping Yan","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003803560","display_name":"Yuhang Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Zhou","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing 210096, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing 210096, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090552722"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30772812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"11","first_page":"425","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.37610000371932983,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.37610000371932983,"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":0.28360000252723694,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.13819999992847443,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6901999711990356},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.6586999893188477},{"id":"https://openalex.org/keywords/facade","display_name":"Facade","score":0.5551999807357788},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.532800018787384},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4706000089645386},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4309999942779541},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4203000068664551},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.41510000824928284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7124999761581421},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6901999711990356},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.6586999893188477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6223999857902527},{"id":"https://openalex.org/C2780113678","wikidata":"https://www.wikidata.org/wiki/Q183061","display_name":"Facade","level":2,"score":0.5551999807357788},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5126000046730042},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4706000089645386},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.37380000948905945},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.34459999203681946},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32089999318122864},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C49545453","wikidata":"https://www.wikidata.org/wiki/Q69883","display_name":"Urban planning","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C2781179811","wikidata":"https://www.wikidata.org/wiki/Q28134081","display_name":"Spatial configuration","level":3,"score":0.2581000030040741},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/ijgi14110425","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110425","pdf_url":"https://www.mdpi.com/2220-9964/14/11/425/pdf?version=1761893267","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:07ca4340fbf943ac9a2d226b29f077d0","is_oa":true,"landing_page_url":"https://doaj.org/article/07ca4340fbf943ac9a2d226b29f077d0","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":"ISPRS International Journal of Geo-Information, Vol 14, Iss 11, p 425 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/ijgi14110425","is_oa":true,"landing_page_url":"https://doi.org/10.3390/ijgi14110425","pdf_url":"https://www.mdpi.com/2220-9964/14/11/425/pdf?version=1761893267","source":{"id":"https://openalex.org/S2764431341","display_name":"ISPRS International Journal of Geo-Information","issn_l":"2220-9964","issn":["2220-9964"],"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":"ISPRS International Journal of Geo-Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"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/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/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/G8543934953","display_name":null,"funder_award_id":"62201142","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/W4415723998.pdf","grobid_xml":"https://content.openalex.org/works/W4415723998.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W2109255472","https://openalex.org/W2117228865","https://openalex.org/W2151103935","https://openalex.org/W2471962767","https://openalex.org/W2565639579","https://openalex.org/W2594519801","https://openalex.org/W2740418457","https://openalex.org/W2752782242","https://openalex.org/W2754925132","https://openalex.org/W2962705366","https://openalex.org/W2963059198","https://openalex.org/W2963674285","https://openalex.org/W2963760790","https://openalex.org/W2979458572","https://openalex.org/W3034275286","https://openalex.org/W3043075211","https://openalex.org/W3145812226","https://openalex.org/W3166285241","https://openalex.org/W4200390863","https://openalex.org/W4372267301","https://openalex.org/W4382466643","https://openalex.org/W4386076035","https://openalex.org/W4392033121","https://openalex.org/W4394829774","https://openalex.org/W4402772491","https://openalex.org/W4403294890","https://openalex.org/W4405022676","https://openalex.org/W4409209552","https://openalex.org/W4410382938","https://openalex.org/W4410859148","https://openalex.org/W4415353161"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"and":[1,16,29,65,85,133,143,160],"robust":[2],"feature":[3],"matching":[4],"across":[5],"multi-view":[6],"urban":[7,12,21],"imagery":[8],"is":[9,109],"fundamental":[10],"for":[11],"mapping,":[13],"3D":[14],"reconstruction,":[15],"large-scale":[17],"spatial":[18],"alignment.":[19],"Real-world":[20],"scenes":[22],"involve":[23],"significant":[24],"variations":[25],"in":[26,115,136],"viewpoint,":[27],"illumination,":[28],"occlusion,":[30],"as":[31,33],"well":[32],"repetitive":[34,116],"architectural":[35],"patterns":[36],"that":[37,56,123,156],"make":[38],"correspondence":[39],"estimation":[40],"challenging.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46],"propose":[47],"the":[48,89],"Cross-Context":[49],"Aggregation":[50],"Matcher":[51],"(CCAM),":[52],"a":[53,76,82,98],"detector-free":[54,151],"framework":[55],"jointly":[57],"leverages":[58],"multi-scale":[59,77],"local":[60,78,94],"features,":[61],"long-range":[62],"contextual":[63],"information,":[64],"geometric":[66,113],"priors":[67],"to":[68,91,111,130,145],"produce":[69],"spatially":[70,161],"consistent":[71],"matches.":[72],"Specifically,":[73],"CCAM":[74,124,157],"integrates":[75],"enhancement":[79],"branch":[80],"with":[81,150],"parallel":[83],"self-":[84],"cross-attention":[86],"Transformer,":[87],"enabling":[88],"model":[90],"preserve":[92],"detailed":[93],"structures":[95],"while":[96],"maintaining":[97],"coherent":[99,162],"global":[100],"context.":[101],"In":[102],"addition,":[103],"an":[104],"independent":[105],"positional":[106],"encoding":[107],"scheme":[108],"introduced":[110],"strengthen":[112],"reasoning":[114],"or":[117],"low-texture":[118],"regions.":[119],"Extensive":[120],"experiments":[121],"demonstrate":[122],"outperforms":[125],"state-of-the-art":[126],"methods,":[127],"achieving":[128],"up":[129,144],"+31.8%,":[131],"+19.1%,":[132],"+11.5%":[134],"improvements":[135],"AUC@{5\u00b0,":[137],"10\u00b0,":[138],"20\u00b0}":[139],"over":[140],"detector-based":[141],"approaches":[142],"1.72%":[146],"higher":[147],"precision":[148],"compared":[149],"counterparts.":[152],"These":[153],"results":[154],"confirm":[155],"delivers":[158],"reliable":[159],"matches,":[163],"thereby":[164],"facilitating":[165],"downstream":[166],"geospatial":[167],"applications.":[168]},"counts_by_year":[],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-31T00:00:00"}