{"id":"https://openalex.org/W4399103927","doi":"https://doi.org/10.1080/10095020.2024.2354226","title":"A robust and accurate feature matching method for multi-modal geographic images spatial registration","display_name":"A robust and accurate feature matching method for multi-modal geographic images spatial registration","publication_year":2024,"publication_date":"2024-05-28","ids":{"openalex":"https://openalex.org/W4399103927","doi":"https://doi.org/10.1080/10095020.2024.2354226"},"language":"en","primary_location":{"id":"doi:10.1080/10095020.2024.2354226","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2354226","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2354226?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"Geo-spatial Information Science","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/10.1080/10095020.2024.2354226?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0000-0002-4475-8900"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Ren","raw_affiliation_strings":["Ningbo University","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-4475-8900","affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050009113","display_name":"Weiwei Sun","orcid":"https://orcid.org/0000-0003-3399-7858"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwei Sun","raw_affiliation_strings":["Ningbo University","Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0003-3399-7858","affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018282808","display_name":"Xiangchao Meng","orcid":"https://orcid.org/0000-0002-7405-3143"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangchao Meng","raw_affiliation_strings":["Ningbo University","Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7405-3143","affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074018705","display_name":"Gang Yang","orcid":"https://orcid.org/0000-0002-7001-2037"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yang","raw_affiliation_strings":["Ningbo University","Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":"https://orcid.org/0000-0002-7001-2037","affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei University","Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0584","affiliations":[{"raw_affiliation_string":"Hubei University","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101934910","display_name":"Binjie Chen","orcid":"https://orcid.org/0000-0002-2064-6023"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binjie Chen","raw_affiliation_strings":["Ningbo University","Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ningbo University","institution_ids":["https://openalex.org/I109935558"]},{"raw_affiliation_string":"Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0000-0002-4475-8900"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Li","raw_affiliation_strings":["Wuhan University","School of Geodesy and Geomatics, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuhan University","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Geodesy and Geomatics, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5050009113"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":{"value":1625,"currency":"GBP","value_usd":1993},"apc_paid":{"value":1625,"currency":"GBP","value_usd":1993},"fwci":2.169,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88556469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"28","issue":"3","first_page":"1014","last_page":"1033"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996999979019165,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9911999702453613,"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/matching","display_name":"Matching (statistics)","score":0.7062960863113403},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6859779953956604},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6309636235237122},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6205111145973206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5847045183181763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5438538193702698},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5429946184158325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5220686793327332},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.5075207948684692},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4518465995788574},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.35609889030456543},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3238353729248047},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2652255892753601},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19545698165893555},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12964782118797302},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.05640175938606262}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7062960863113403},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6859779953956604},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6309636235237122},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6205111145973206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5847045183181763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5438538193702698},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5429946184158325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5220686793327332},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.5075207948684692},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4518465995788574},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.35609889030456543},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3238353729248047},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2652255892753601},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19545698165893555},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12964782118797302},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.05640175938606262},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/10095020.2024.2354226","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2354226","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2354226?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"Geo-spatial Information Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:27f34168bd46413f95284fe7dbec8c2d","is_oa":true,"landing_page_url":"https://doaj.org/article/27f34168bd46413f95284fe7dbec8c2d","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":"Geo-spatial Information Science, Vol 28, Iss 3, Pp 1014-1033 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/10095020.2024.2354226","is_oa":true,"landing_page_url":"https://doi.org/10.1080/10095020.2024.2354226","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2354226?needAccess=true","source":{"id":"https://openalex.org/S36798160","display_name":"Geo-spatial Information Science","issn_l":"1009-5020","issn":["1009-5020","1993-5153"],"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":"Geo-spatial Information Science","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7534358263","display_name":null,"funder_award_id":"41801252","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399103927.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W839085667","https://openalex.org/W2022609344","https://openalex.org/W2030233108","https://openalex.org/W2034432063","https://openalex.org/W2047243114","https://openalex.org/W2050107091","https://openalex.org/W2060080951","https://openalex.org/W2069295011","https://openalex.org/W2101544546","https://openalex.org/W2104853049","https://openalex.org/W2108441808","https://openalex.org/W2110375187","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2126609125","https://openalex.org/W2126635242","https://openalex.org/W2129601604","https://openalex.org/W2136401941","https://openalex.org/W2145072179","https://openalex.org/W2146807548","https://openalex.org/W2162246004","https://openalex.org/W2167204691","https://openalex.org/W2468367546","https://openalex.org/W2537339061","https://openalex.org/W2559871160","https://openalex.org/W2781778455","https://openalex.org/W2800324071","https://openalex.org/W2887116847","https://openalex.org/W2923212559","https://openalex.org/W2972158684","https://openalex.org/W2973247625","https://openalex.org/W2980211508","https://openalex.org/W2983976417","https://openalex.org/W2996444841","https://openalex.org/W3041494017","https://openalex.org/W3087389632","https://openalex.org/W3098156937","https://openalex.org/W3100018800","https://openalex.org/W3100205795","https://openalex.org/W3134743586","https://openalex.org/W3134976640","https://openalex.org/W3174504143","https://openalex.org/W3175128321","https://openalex.org/W3216504652","https://openalex.org/W4205310588","https://openalex.org/W4206511152","https://openalex.org/W4206900989","https://openalex.org/W4220840497","https://openalex.org/W4226184311","https://openalex.org/W4226219104","https://openalex.org/W4226336958","https://openalex.org/W4290715643","https://openalex.org/W4293661500","https://openalex.org/W4295934974","https://openalex.org/W4318970073"],"related_works":["https://openalex.org/W2123144113","https://openalex.org/W4206457185","https://openalex.org/W3106568383","https://openalex.org/W2778065487","https://openalex.org/W2163812102","https://openalex.org/W2371395629","https://openalex.org/W4390188912","https://openalex.org/W4391828396","https://openalex.org/W2060133567","https://openalex.org/W2377040582"],"abstract_inverted_index":{"While":[0],"the":[1,9,23,30,87,104,124,140,154,161,167,170,174,181,192,207],"current":[2],"research":[3],"has":[4,16],"achieved":[5],"satisfactory":[6],"results":[7,237,249],"for":[8,71],"registration":[10,24,219],"of":[11,25,106,160,169,176],"single":[12],"mode":[13],"data,":[14,91],"there":[15],"always":[17],"been":[18],"a":[19,64,118,187],"significant":[20],"challenge":[21],"in":[22],"multi-modal":[26,100,217,227,243],"images":[27,245],"due":[28],"to":[29,78,98,134,190,203],"obvious":[31],"nonlinear":[32],"radiation":[33,88],"differences":[34],"caused":[35],"by":[36,122],"different":[37,226],"imaging":[38,41],"mechanisms":[39],"and":[40,66,92,108,157,172,196,216,229,246],"time.":[42],"For":[43],"example,":[44],"multi-temporal":[45],"visible,":[46],"visible-synthetic":[47],"aperture":[48],"radar,":[49],"visible-near":[50],"infrared,":[51,55],"near":[52],"infrared-short":[53],"wave":[54],"visible-MAP,":[56],"etc.":[57],"To":[58],"address":[59],"this":[60],"problem,":[61],"we":[62,130,146,185],"propose":[63,147],"Robust":[65],"Accurate":[67],"Feature":[68],"Matching":[69],"Method":[70],"Multi-modal":[72],"Geographic":[73],"Images":[74],"Spatial":[75],"Registration":[76],"(RAMMR)":[77],"fully":[79],"extract":[80,135],"common":[81],"key":[82,112,136,177],"points":[83,137],"between":[84,90],"images,":[85],"weaken":[86],"difference":[89],"finally":[93],"accurately":[94,241],"match":[95],"more":[96],"inliers":[97],"realize":[99],"image":[101,218],"registration.":[102],"Considering":[103],"influence":[105],"noise":[107],"edge":[109],"information":[110],"on":[111,139,153,180,214,225],"point":[113],"extraction,":[114],"RAMMR":[115,222,240],"first":[116],"constructs":[117],"new":[119],"scale":[120,142,162],"space":[121],"introducing":[123],"Side":[125],"Window":[126],"Filter":[127],"(SWF);":[128],"Then,":[129],"improve":[131],"Harris":[132],"algorithm":[133],"based":[138,152,213],"SWF":[141],"space;":[143],"After":[144],"that,":[145],"an":[148],"enhanced":[149],"log-polar":[150],"descriptor":[151,171],"gradient":[155,158],"angles":[156],"amplitudes":[159],"space,":[163],"which":[164],"effectively":[165],"improves":[166],"quality":[168],"avoids":[173],"mismatch":[175],"points;":[178],"Based":[179],"standard":[182],"Euclidean":[183],"distance,":[184],"design":[186],"re-match":[188],"strategy":[189],"obtain":[191],"initial":[193],"matching":[194],"results,":[195],"Random":[197],"Sample":[198],"Consensus":[199],"(RANSAC)":[200],"is":[201,220,223],"used":[202],"eliminate":[204],"outliers.":[205],"Finally,":[206],"affine":[208],"transformation":[209],"parameters":[210],"are":[211,257],"calculated":[212],"inliers,":[215],"realized.":[221],"evaluated":[224],"datasets":[228,256],"compared":[230,250],"with":[231,251],"some":[232],"state-of-art":[233],"methods.":[234,253],"The":[235],"experimental":[236],"show":[238],"that":[239],"registers":[242],"geographic":[244],"obtains":[247],"comparative":[248],"benchmark":[252],"Our":[254],"source":[255],"publicly":[258],"available":[259],"at":[260],"https://github.com/RSmfmr/multimodal-dataset.":[261]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
