{"id":"https://openalex.org/W4416756327","doi":"https://doi.org/10.1109/tgrs.2025.3633714","title":"Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization","display_name":"Hyperspectral Anomaly Detection Fused Unified Nonconvex Tensor Ring Factors Regularization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416756327","doi":"https://doi.org/10.1109/tgrs.2025.3633714"},"language":null,"primary_location":{"id":"doi:10.1109/tgrs.2025.3633714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3633714","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5083983109","display_name":"Wenjin Qin","orcid":"https://orcid.org/0000-0002-8064-4206"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjin Qin","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330277","display_name":"Hailin Wang","orcid":"https://orcid.org/0000-0002-7797-2719"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailin Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037000621","display_name":"Hao Shu","orcid":"https://orcid.org/0009-0002-6456-7009"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Shu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032355068","display_name":"Feng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100410426","display_name":"Jianjun Wang","orcid":"https://orcid.org/0000-0002-5344-4460"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjun Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028103486","display_name":"Xiangyong Cao","orcid":"https://orcid.org/0000-0001-7912-3457"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyong Cao","raw_affiliation_strings":["School of Computer Science and Technology and Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology and Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011715660","display_name":"Xi-Le Zhao","orcid":"https://orcid.org/0000-0002-6540-946X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi-Le Zhao","raw_affiliation_strings":["School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043777501","display_name":"Gemine Vivone","orcid":"https://orcid.org/0000-0001-9542-0638"},"institutions":[{"id":"https://openalex.org/I4210115556","display_name":"National Research Council - Institute of Methodologies for Environmental Analysis","ror":"https://ror.org/024ye7w89","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210115556","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gemine Vivone","raw_affiliation_strings":["Institute of Methodologies for Environmental Analysis, CNR-IMAA, Tito Scalo, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Methodologies for Environmental Analysis, CNR-IMAA, Tito Scalo, Italy","institution_ids":["https://openalex.org/I4210115556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5083983109"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.1372,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85843905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9772999882698059,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9772999882698059,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.008100000210106373,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.0024999999441206455,"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/anomaly-detection","display_name":"Anomaly detection","score":0.5705999732017517},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5630999803543091},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5389999747276306},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5170999765396118},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4702000021934509},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4690999984741211},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.40149998664855957},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.39899998903274536}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5705999732017517},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5630999803543091},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5354999899864197},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4690999984741211},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.40149998664855957},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3961000144481659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3815000057220459},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3156000077724457},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.3089999854564667},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.2678000032901764},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3633714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3633714","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W1965125844","https://openalex.org/W1966661320","https://openalex.org/W1970099214","https://openalex.org/W2004491663","https://openalex.org/W2017014096","https://openalex.org/W2024288510","https://openalex.org/W2040078680","https://openalex.org/W2047870694","https://openalex.org/W2054804828","https://openalex.org/W2067897118","https://openalex.org/W2124463804","https://openalex.org/W2163129097","https://openalex.org/W2164278908","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2590856740","https://openalex.org/W2592141703","https://openalex.org/W2611452721","https://openalex.org/W2740976805","https://openalex.org/W2811009023","https://openalex.org/W2887985146","https://openalex.org/W2948363198","https://openalex.org/W2962708900","https://openalex.org/W2972480129","https://openalex.org/W3003955104","https://openalex.org/W3004925702","https://openalex.org/W3008839601","https://openalex.org/W3021083191","https://openalex.org/W3028138626","https://openalex.org/W3030709861","https://openalex.org/W3038851053","https://openalex.org/W3042671644","https://openalex.org/W3042747521","https://openalex.org/W3090929676","https://openalex.org/W3112037842","https://openalex.org/W3118396380","https://openalex.org/W3120378560","https://openalex.org/W3123098349","https://openalex.org/W3123648408","https://openalex.org/W3133825763","https://openalex.org/W3153686193","https://openalex.org/W3176520651","https://openalex.org/W3196711624","https://openalex.org/W3196742104","https://openalex.org/W3199351457","https://openalex.org/W3202708053","https://openalex.org/W4205690031","https://openalex.org/W4214806231","https://openalex.org/W4224261559","https://openalex.org/W4225816429","https://openalex.org/W4225850527","https://openalex.org/W4226401714","https://openalex.org/W4282929851","https://openalex.org/W4285233009","https://openalex.org/W4291805341","https://openalex.org/W4294663621","https://openalex.org/W4294690695","https://openalex.org/W4296210064","https://openalex.org/W4308799536","https://openalex.org/W4312572145","https://openalex.org/W4319996239","https://openalex.org/W4321380750","https://openalex.org/W4353004250","https://openalex.org/W4360993974","https://openalex.org/W4367146981","https://openalex.org/W4376457061","https://openalex.org/W4376607587","https://openalex.org/W4378194596","https://openalex.org/W4379054876","https://openalex.org/W4379528713","https://openalex.org/W4380303690","https://openalex.org/W4382466177","https://openalex.org/W4385153806","https://openalex.org/W4386025596","https://openalex.org/W4386362913","https://openalex.org/W4387331383","https://openalex.org/W4389474261","https://openalex.org/W4390494483","https://openalex.org/W4391594007","https://openalex.org/W4391661439","https://openalex.org/W4391759484","https://openalex.org/W4394698505","https://openalex.org/W4394766655","https://openalex.org/W4394805276","https://openalex.org/W4398151306","https://openalex.org/W4399768343","https://openalex.org/W4401358048","https://openalex.org/W4402703122","https://openalex.org/W4403827055","https://openalex.org/W4404788389","https://openalex.org/W4405056103","https://openalex.org/W4406610996","https://openalex.org/W4407566400","https://openalex.org/W4410226766","https://openalex.org/W4410980266"],"related_works":[],"abstract_inverted_index":{"In":[0,75],"recent":[1],"years,":[2],"tensor":[3,70,94],"decomposition-based":[4],"approaches":[5,259],"for":[6,236],"<italic":[7,45,125,222,255],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[8,46,126,223,256],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">hyperspectral":[9,47],"anomaly":[10,88,173,189],"detection</i>":[11],"(HAD)":[12],"have":[13],"gained":[14],"significant":[15],"attention":[16],"in":[17,44,260],"the":[18,34,41,76,79,91,107,111,135,140,155,162,167,184,188,193,207,221,237],"field":[19],"of":[20,40,93,139,166,187,227,262],"remote":[21],"sensing.":[22],"However,":[23],"existing":[24,254],"methods":[25],"often":[26],"fail":[27],"to":[28,105,132,160,182],"flexibly":[29],"and":[30,37,87,119,137,164,200],"effectively":[31],"extract":[32],"both":[33],"global":[35],"correlations":[36,109],"local":[38],"smoothness":[39,165],"background":[42,86,112],"components":[43,89],"images</i>":[48],"(HSIs).":[49],"To":[50,170,205],"mitigate":[51],"this":[52],"critical":[53],"issue,":[54],"we":[55,115,175,195,212],"put":[56],"forward":[57],"a":[58,117,146,177,198,214],"novel":[59],"HAD":[60,203],"method":[61,226,252],"named":[62],"HAD-EUNTRFR,":[63],"which":[64],"incorporates":[65],"an":[66],"enhanced":[67],"unified":[68,118],"nonconvex":[69,121,179,202,210],"ring":[71],"(TR)":[72],"factors":[73,144,159],"regularization.":[74],"HAD-EUNTRFR":[77],"framework,":[78],"raw":[80],"HSIs":[81],"are":[82,240],"first":[83],"decomposed":[84],"into":[85,145],"using":[90],"idea":[92],"robust":[95],"principal":[96],"component":[97],"analysis.":[98],"The":[99,150],"TR":[100,143,158],"decomposition":[101],"is":[102],"then":[103],"employed":[104],"capture":[106],"spatial-spectral":[108],"within":[110],"component.":[113,190],"Additionally,":[114],"introduce":[116],"efficient":[120,216],"regularizer,":[122],"induced":[123],"by":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">tensor":[127],"singular":[128],"value":[129],"decomposition</i>":[130],"(T-SVD),":[131],"simultaneously":[133],"encode":[134],"low-rankness":[136,163],"sparsity":[138,186],"3-D":[141],"gradient":[142,157],"unique":[147],"concise":[148],"form.":[149],"above":[151],"characterization":[152],"scheme":[153],"enables":[154],"interpretable":[156],"inherit":[161],"original":[168],"background.":[169],"further":[171],"enhance":[172],"detection,":[174],"design":[176],"generalized":[178],"regularization":[180],"term":[181],"exploit":[183],"group":[185],"Based":[191],"upon":[192],"above,":[194],"ultimately":[196],"propose":[197],"scalable":[199],"reliable":[201],"model.":[204],"solve":[206],"resulting":[208],"doubly":[209],"model,":[211],"develop":[213],"highly":[215],"optimization":[217],"algorithm":[218,239],"based":[219],"on":[220,233,244],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">alternating":[224],"direction":[225],"multipliers</i>":[228],"(ADMM)":[229],"framework.":[230],"Theoretical":[231],"results":[232,243],"convergence":[234],"analysis":[235],"proposed":[238,251],"derived.":[241],"Experimental":[242],"several":[245],"benchmark":[246],"datasets":[247],"demonstrate":[248],"that":[249],"our":[250],"outperforms":[253],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">state-of-the-art</i>":[257],"(SOTA)":[258],"terms":[261],"detection":[263],"accuracy.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-17T00:00:00"}