{"id":"https://openalex.org/W4412082356","doi":"https://doi.org/10.1109/jstars.2025.3586323","title":"Low-Rank Regularized Correlation Filter for Hyperspectral Video Object Tracking","display_name":"Low-Rank Regularized Correlation Filter for Hyperspectral Video Object Tracking","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412082356","doi":"https://doi.org/10.1109/jstars.2025.3586323"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2025.3586323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586323","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/jstars.2025.3586323","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Na-Na Li","orcid":"https://orcid.org/0009-0000-8136-6853"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Na-Na Li","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0000-8136-6853","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046660396","display_name":"Heng\u2013Chao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng-Chao Li","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9735-570X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378988","display_name":"Jian-Li Wang","orcid":"https://orcid.org/0000-0003-4774-4894"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-Li Wang","raw_affiliation_strings":["School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4774-4894","affiliations":[{"raw_affiliation_string":"School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079258444","display_name":"Xiongfei Geng","orcid":"https://orcid.org/0000-0003-1685-4732"},"institutions":[{"id":"https://openalex.org/I4210100221","display_name":"China Waterborne Transport Research Institute","ror":"https://ror.org/013kb0k13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210100221"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiong-Fei Geng","raw_affiliation_strings":["China Waterborne Transport Research Institute, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1685-4732","affiliations":[{"raw_affiliation_string":"China Waterborne Transport Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210100221"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jie Pan","orcid":"https://orcid.org/0009-0001-2548-4684"},"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":"Jie Pan","raw_affiliation_strings":["Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-2548-4684","affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20421903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"17513","last_page":"17525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9836999773979187,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9836999773979187,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9488999843597412,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.819003701210022},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6782873868942261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6739440560340881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6724824905395508},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6451568007469177},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5103816390037537},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5090808272361755},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.47059762477874756},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46515852212905884},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44339659810066223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3603030741214752},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21524116396903992}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.819003701210022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6782873868942261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6739440560340881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6724824905395508},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6451568007469177},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5103816390037537},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5090808272361755},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.47059762477874756},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46515852212905884},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44339659810066223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3603030741214752},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21524116396903992},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2025.3586323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586323","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9fae949c8a24a239a34f56f91619a6a","is_oa":true,"landing_page_url":"https://doaj.org/article/b9fae949c8a24a239a34f56f91619a6a","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":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 17513-17525 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3586323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3586323","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3900967620","display_name":null,"funder_award_id":"2023NSFSC0030","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G6096897377","display_name":null,"funder_award_id":"62306248","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7259680027","display_name":null,"funder_award_id":"2025ZNSFSC0870","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G7509836859","display_name":null,"funder_award_id":"62271418","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"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W161114242","https://openalex.org/W818325216","https://openalex.org/W1955741794","https://openalex.org/W1964846093","https://openalex.org/W1997121481","https://openalex.org/W2044986361","https://openalex.org/W2103972604","https://openalex.org/W2154889144","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2520477759","https://openalex.org/W2526607496","https://openalex.org/W2599547527","https://openalex.org/W2799058067","https://openalex.org/W2807832475","https://openalex.org/W2947059957","https://openalex.org/W2962719749","https://openalex.org/W2963534981","https://openalex.org/W2964069521","https://openalex.org/W2964161477","https://openalex.org/W2969454712","https://openalex.org/W2987346479","https://openalex.org/W2997598390","https://openalex.org/W2999482976","https://openalex.org/W3018195301","https://openalex.org/W3024883262","https://openalex.org/W3035942737","https://openalex.org/W3042335128","https://openalex.org/W3089799197","https://openalex.org/W3135450171","https://openalex.org/W3151841177","https://openalex.org/W3172553658","https://openalex.org/W3183862688","https://openalex.org/W3212010482","https://openalex.org/W3212622989","https://openalex.org/W4206420039","https://openalex.org/W4210771532","https://openalex.org/W4282592325","https://openalex.org/W4285191160","https://openalex.org/W4290861285","https://openalex.org/W4293428435","https://openalex.org/W4304481542","https://openalex.org/W4307772628","https://openalex.org/W4310038696","https://openalex.org/W4312716506","https://openalex.org/W4312753915","https://openalex.org/W4319065888","https://openalex.org/W4324092579","https://openalex.org/W4362654187","https://openalex.org/W4377000481","https://openalex.org/W4379467119","https://openalex.org/W4380434643","https://openalex.org/W4387717506","https://openalex.org/W4390660027","https://openalex.org/W4391945592","https://openalex.org/W4393140486","https://openalex.org/W4393409660","https://openalex.org/W4396909812","https://openalex.org/W4400285388","https://openalex.org/W4402816718"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W4285271403","https://openalex.org/W2542007731","https://openalex.org/W2968379562","https://openalex.org/W2091015105","https://openalex.org/W4388689193","https://openalex.org/W2110899030","https://openalex.org/W29633852","https://openalex.org/W2985362983","https://openalex.org/W4327670844"],"abstract_inverted_index":{"Visual":[0],"object":[1,27,40,56,65,150],"tracking":[2,28,41,158],"is":[3,99,160],"crucial":[4],"in":[5,30],"both":[6],"artificial":[7],"intelligence":[8],"and":[9,86,115,145],"computer":[10],"vision":[11],"tasks.":[12],"Hyperspectral":[13],"videos":[14],"(HSVs)":[15],"can":[16],"provide":[17],"abundant":[18],"spectral-spatial-temporal":[19],"information,":[20],"which":[21,50,101],"brings":[22],"new":[23],"opportunities":[24],"for":[25,149],"improving":[26],"performance":[29],"complex":[31],"scenes.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,67,134],"propose":[37],"a":[38,95],"hyperspectral":[39,77],"(HOT)":[42],"algorithm":[43],"using":[44],"low-rank":[45,141],"regularized":[46],"correlation":[47],"filter":[48],"(LRCF),":[49],"fully":[51],"leverages":[52],"the":[53,70,76,91,112,129,136,156,176],"relevance":[54],"of":[55,64,111,173],"features.":[57],"Specifically,":[58],"to":[59,74,127,143,162],"excavate":[60],"deep":[61,88,103],"semantic":[62],"information":[63],"regions,":[66],"first":[68],"apply":[69],"band":[71],"regrouping":[72],"technology":[73],"divide":[75],"image":[78],"(HSI)":[79],"into":[80],"multiple":[81],"three-channel":[82],"false-color":[83],"(3CFC)":[84],"images":[85],"extract":[87],"features":[89,104,108],"via":[90],"pre-trained":[92],"network.":[93],"Furthermore,":[94],"multi-feature":[96],"fusion":[97],"strategy":[98],"designed,":[100],"integrates":[102],"with":[105],"shallow":[106],"handcrafted":[107],"(e.g.,":[109],"histograms":[110],"gradient":[113],"(HOG)":[114],"color":[116],"name":[117],"(CN)":[118],"features)":[119],"through":[120],"channel-wise":[121],"concatenation,":[122],"leveraging":[123],"their":[124],"complementary":[125],"strengths":[126],"enhance":[128],"overall":[130],"feature":[131],"representation.":[132],"Finally,":[133],"design":[135],"LRCF":[137],"model":[138],"by":[139],"introducing":[140],"constraint":[142],"classify":[144],"score":[146,172],"search":[147],"samples":[148],"localization.":[151],"Experimental":[152],"results":[153],"indicate":[154],"that":[155],"LRCF-based":[157],"method":[159],"superior":[161],"existing":[163],"HOT":[164],"methods,":[165],"achieving":[166],"an":[167],"area":[168],"under":[169],"curve":[170],"(AUC)":[171],"0.664":[174],"on":[175],"HOTC2020":[177],"dataset.":[178]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}