{"id":"https://openalex.org/W4407212968","doi":"https://doi.org/10.1109/tcsvt.2025.3539383","title":"UAV Visual Localization via Integrated Steerable Semantic Feature Learning and Density-Based Clustering","display_name":"UAV Visual Localization via Integrated Steerable Semantic Feature Learning and Density-Based Clustering","publication_year":2025,"publication_date":"2025-02-06","ids":{"openalex":"https://openalex.org/W4407212968","doi":"https://doi.org/10.1109/tcsvt.2025.3539383"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3539383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3539383","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102718821","display_name":"Yuan Chen","orcid":"https://orcid.org/0000-0003-0289-5808"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Chen","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0289-5808","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101944041","display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0003-1946-1707"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1946-1707","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":2.2966,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86886376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"35","issue":"7","first_page":"6313","last_page":"6328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9966999888420105,"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":0.9948999881744385,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908999800682068,"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":0.71796715259552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6688276529312134},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.637582540512085},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5476294755935669},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5407280325889587},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4898333251476288},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4212869703769684}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.71796715259552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6688276529312134},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.637582540512085},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5476294755935669},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5407280325889587},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4898333251476288},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4212869703769684},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3539383","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3539383","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6812529778","display_name":null,"funder_award_id":"61725501","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":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2073775731","https://openalex.org/W2081852578","https://openalex.org/W2151103935","https://openalex.org/W2332630870","https://openalex.org/W2468801144","https://openalex.org/W2507296351","https://openalex.org/W2588471546","https://openalex.org/W2768573964","https://openalex.org/W2777523258","https://openalex.org/W2787091153","https://openalex.org/W2884566794","https://openalex.org/W2897085414","https://openalex.org/W2897541487","https://openalex.org/W2898538166","https://openalex.org/W2902446117","https://openalex.org/W2905911711","https://openalex.org/W2945556069","https://openalex.org/W2947041803","https://openalex.org/W2954000375","https://openalex.org/W2963324085","https://openalex.org/W2963928593","https://openalex.org/W2967065599","https://openalex.org/W2968394312","https://openalex.org/W2969619317","https://openalex.org/W3009058813","https://openalex.org/W3034411221","https://openalex.org/W3082750159","https://openalex.org/W3090338484","https://openalex.org/W3093125247","https://openalex.org/W3122349283","https://openalex.org/W3128990302","https://openalex.org/W3130508491","https://openalex.org/W3131665280","https://openalex.org/W3189125780","https://openalex.org/W3201963747","https://openalex.org/W3202455488","https://openalex.org/W3214744507","https://openalex.org/W4205580542","https://openalex.org/W4206760693","https://openalex.org/W4221138453","https://openalex.org/W4226050512","https://openalex.org/W4285124116","https://openalex.org/W4285260879","https://openalex.org/W4320487288","https://openalex.org/W4385412693","https://openalex.org/W4386076421","https://openalex.org/W4386083013","https://openalex.org/W4387504411","https://openalex.org/W4388901570","https://openalex.org/W4390189932","https://openalex.org/W4393103290","https://openalex.org/W4393252628","https://openalex.org/W4393906157","https://openalex.org/W4396914836","https://openalex.org/W4400229397","https://openalex.org/W4401163318","https://openalex.org/W6637131181","https://openalex.org/W6739696289","https://openalex.org/W6767104088","https://openalex.org/W6767766851","https://openalex.org/W6777995897","https://openalex.org/W6797399245","https://openalex.org/W6859503285"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2049538278","https://openalex.org/W2886173746","https://openalex.org/W4200043248"],"abstract_inverted_index":{"Unmanned":[0],"aerial":[1],"vehicles":[2],"(UAVs)":[3],"visual":[4,76],"localization":[5,77,201],"capabilities":[6],"provide":[7],"a":[8,74,111,147,156,198,208],"promising":[9],"solution":[10],"for":[11],"ensuring":[12],"reliable":[13],"navigation,":[14],"especially":[15],"in":[16,44,55,190,214],"environments":[17],"where":[18],"Global":[19],"Navigation":[20],"Satellite":[21],"System":[22],"(GNSS)":[23],"signals":[24,37],"are":[25],"obstructed":[26],"or":[27,38],"unavailable.":[28],"It":[29],"can":[30,185],"be":[31],"implemented":[32],"without":[33],"reliance":[34],"on":[35,80,174],"external":[36],"additional":[39],"equipments.":[40],"However,":[41],"significant":[42],"changes":[43,189],"the":[45,48,61,95,153],"appearance":[46],"of":[47,99,203,211],"ground":[49,193],"surface,":[50],"as":[51,53],"well":[52],"variations":[54],"illumination,":[56],"rotation,":[57],"and":[58,66,88,97,125,176,192,207],"viewpoint,":[59],"make":[60],"matching":[62,154],"between":[63],"UAV":[64,75,179],"imagery":[65],"reference":[67,167],"satellite":[68],"images":[69],"challenging.":[70],"In":[71],"this":[72],"study,":[73],"method":[78,184,196],"based":[79],"deep":[81],"learning":[82],"features":[83,121,132],"with":[84,122,146],"steerable":[85,105],"semantic":[86,114,124,131,137,142,148],"information":[87,138],"density-based":[89,158],"clustering":[90,159],"is":[91],"proposed":[92,102],"to":[93,118,169,217],"enhance":[94],"robustness":[96],"accuracy":[98,215],"localization.":[100],"The":[101],"lightweight":[103],"semantic-aware":[104],"feature":[106],"extraction":[107],"network":[108,144],"(SemSNet)":[109],"integrates":[110],"multilevel":[112],"reduced":[113],"segmentation":[115,143],"block":[116],"(MR-SSB)":[117],"extract":[119],"local":[120],"rotation-invariant":[123],"structural":[126],"information.":[127],"MR-SSB":[128],"learns":[129],"pixel-level":[130],"domain":[133],"adaptively":[134],"by":[135],"leveraging":[136],"from":[139],"an":[140],"off-the-shelf":[141],"combined":[145],"label":[149],"remapping":[150],"technique.":[151],"During":[152],"phase,":[155],"hybrid":[157],"integrating":[160],"multiple":[161],"Gaussian":[162],"models":[163],"(MGMDBC)":[164],"identifies":[165],"corresponding":[166],"regions":[168],"maximize":[170],"covisibility.":[171],"Experiments":[172],"conducted":[173],"public":[175],"self-collected":[177],"challenging":[178],"datasets":[180],"demonstrate":[181],"that":[182],"our":[183],"effectively":[186],"overcome":[187],"severe":[188],"viewpoint":[191],"surface.":[194],"Our":[195],"achieves":[197],"minimal":[199],"average":[200],"error":[202],"under":[204],"5":[205],"m":[206,213],"maximum":[209],"improvement":[210],"6.38":[212],"compared":[216],"previous":[218],"models.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
