{"id":"https://openalex.org/W7150953590","doi":"https://doi.org/10.48550/arxiv.2604.03120","title":"SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization","display_name":"SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150953590","doi":"https://doi.org/10.48550/arxiv.2604.03120"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03120","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100784903","display_name":"Xiaoran Zhang","orcid":"https://orcid.org/0000-0001-8918-7374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xiaoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133058719","display_name":"Yu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133020050","display_name":"Jinyu Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Jinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133030617","display_name":"Kangqiushi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Kangqiushi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133042480","display_name":"Zhiwei Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001902162","display_name":"Huaxin Xiao","orcid":"https://orcid.org/0000-0003-4524-2698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Huaxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.6693000197410583,"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":0.6693000197410583,"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":0.0835999995470047,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.06710000336170197,"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/position","display_name":"Position (finance)","score":0.5724999904632568},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.49470001459121704},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4309999942779541},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4097000062465668},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.39980000257492065},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.3546999990940094},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3465000092983246},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.3449999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7623000144958496},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5724999904632568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5347999930381775},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46459999680519104},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4309999942779541},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4097000062465668},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3465000092983246},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3449000120162964},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C2778090530","wikidata":"https://www.wikidata.org/wiki/Q2523931","display_name":"Viewport","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2777559092","wikidata":"https://www.wikidata.org/wiki/Q4741445","display_name":"Ambiguity resolution","level":4,"score":0.25929999351501465},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03120","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03120","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cross-modal":[0],"Thermal":[1],"Geo-localization":[2],"(TG)":[3],"provides":[4],"a":[5,42,49,137,151,161,179,192,197],"robust,":[6],"all-weather":[7],"solution":[8,135],"for":[9],"Unmanned":[10],"Aerial":[11],"Vehicles":[12],"(UAVs)":[13],"in":[14],"Global":[15],"Navigation":[16],"Satellite":[17],"System":[18],"(GNSS)-denied":[19],"environments.":[20],"However,":[21],"profound":[22],"thermal-visible":[23],"modality":[24,74],"gaps":[25],"introduce":[26],"severe":[27],"feature":[28],"ambiguity,":[29],"systematically":[30],"corrupting":[31],"conventional":[32],"coarse-to-fine":[33],"registration.":[34],"To":[35,144],"dismantle":[36],"this":[37],"bottleneck,":[38],"we":[39,72,82,102,122,148],"propose":[40,123],"SCC-Loc,":[41],"unified":[43],"Semantic-Cascade-Consensus":[44],"localization":[45,185],"framework.":[46],"By":[47],"sharing":[48],"single":[50],"DINOv2":[51],"backbone":[52],"across":[53],"global":[54],"retrieval":[55],"and":[56,63,165,190,206],"MINIMA$_{\\text{RoMa}}$":[57],"matching,":[58],"it":[59],"minimizes":[60],"memory":[61],"footprint":[62],"achieves":[64],"zero-shot,":[65],"highly":[66],"accurate":[67],"absolute":[68],"position":[69],"estimation.":[70],"Specifically,":[71],"tackle":[73],"ambiguity":[75],"by":[76],"introducing":[77],"three":[78],"cohesive":[79],"components.":[80],"First,":[81],"design":[83],"the":[84,104,124,133,183,202],"Semantic-Guided":[85],"Viewport":[86],"Alignment":[87],"(SGVA)":[88],"module":[89],"to":[90,111,131,187],"adaptively":[91],"optimize":[92],"satellite":[93,163],"crop":[94],"regions,":[95],"effectively":[96],"correcting":[97],"initial":[98],"spatial":[99],"deviations.":[100],"Second,":[101],"develop":[103],"Cascaded":[105],"Spatial-Adaptive":[106],"Texture-Structure":[107],"Filtering":[108],"(C-SATSF)":[109],"mechanism":[110],"explicitly":[112],"enforce":[113],"geometric":[114],"consistency,":[115],"thereby":[116],"eradicating":[117],"dense":[118],"cross-modal":[119],"outliers.":[120],"Finally,":[121],"Consensus-Driven":[125],"Reliability-Aware":[126],"Position":[127],"Selection":[128],"(CD-RAPS)":[129],"strategy":[130],"derive":[132],"optimal":[134],"through":[136],"synergy":[138],"of":[139],"physically":[140],"constrained":[141],"pose":[142],"optimization.":[143],"address":[145],"data":[146],"scarcity,":[147],"construct":[149],"Thermal-UAV,":[150],"comprehensive":[152],"dataset":[153,207],"providing":[154,191],"11,890":[155],"diverse":[156],"thermal":[157],"queries":[158],"referenced":[159],"against":[160],"large-scale":[162],"ortho-photo":[164],"corresponding":[166],"spatially":[167],"aligned":[168],"Digital":[169],"Surface":[170],"Model":[171],"(DSM).":[172],"Extensive":[173],"experiments":[174],"demonstrate":[175],"that":[176],"SCC-Loc":[177],"establishes":[178],"new":[180],"state-of-the-art,":[181],"suppressing":[182],"mean":[184],"error":[186],"9.37":[188],"m":[189],"7.6-fold":[193],"accuracy":[194],"improvement":[195],"within":[196],"strict":[198],"5-m":[199],"threshold":[200],"over":[201],"strongest":[203],"baseline.":[204],"Code":[205],"are":[208],"available":[209],"at":[210],"https://github.com/FloralHercules/SCC-Loc.":[211]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-07T00:00:00"}