{"id":"https://openalex.org/W4415481157","doi":"https://doi.org/10.1109/jstars.2025.3624721","title":"Hyperspectral Anomaly Detection via Spectral\u2013Spatial Enhanced Low-Rank Collaborative Representation","display_name":"Hyperspectral Anomaly Detection via Spectral\u2013Spatial Enhanced Low-Rank Collaborative Representation","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415481157","doi":"https://doi.org/10.1109/jstars.2025.3624721"},"language":null,"primary_location":{"id":"doi:10.1109/jstars.2025.3624721","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3624721","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.2025.3624721","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100386711","display_name":"Chuang Li","orcid":"https://orcid.org/0000-0002-9331-2278"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Li","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9331-2278","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032043069","display_name":"Wen\u2010Xiang Zhu","orcid":"https://orcid.org/0000-0002-6494-0099"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiang Zhu","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6494-0099","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Na Li","orcid":"https://orcid.org/0009-0000-8518-9233"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Li","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-8518-9233","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069427748","display_name":"Yongxu Liu","orcid":"https://orcid.org/0009-0008-5719-1107"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxu Liu","raw_affiliation_strings":["Hangzhou Institute of Technology, Xidian University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-5719-1107","affiliations":[{"raw_affiliation_string":"Hangzhou Institute of Technology, Xidian University, Hangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunhui Zhao","orcid":"https://orcid.org/0000-0001-6756-4394"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhui Zhao","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-6756-4394","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008256662","display_name":"Yinghui Quan","orcid":"https://orcid.org/0000-0001-6541-9441"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghui Quan","raw_affiliation_strings":["Electrical Engineering, Xidian University, Xi&#x0027;an, China","electrical engineering, Xidian University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0001-6541-9441","affiliations":[{"raw_affiliation_string":"Electrical Engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"electrical engineering, Xidian University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":0.39078232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"383","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9941999912261963,"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":0.9941999912261963,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.911300003528595,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8924000263214111},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6499999761581421},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6383000016212463},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5120999813079834},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4823000133037567},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4740000069141388},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.44940000772476196},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4449000060558319}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8924000263214111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.660099983215332},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6499999761581421},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6383000016212463},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6319000124931335},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5120999813079834},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4740000069141388},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.44940000772476196},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4449000060558319},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3379000127315521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2935999929904938},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.27149999141693115},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.267300009727478},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2025.3624721","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3624721","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"}],"best_oa_location":{"id":"doi:10.1109/jstars.2025.3624721","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2025.3624721","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/G2823617068","display_name":null,"funder_award_id":"62371153","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3601082100","display_name":null,"funder_award_id":"XJSJ24095","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4410933928","display_name":null,"funder_award_id":"XJSJ24093","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4849474106","display_name":null,"funder_award_id":"62401420","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G620763321","display_name":null,"funder_award_id":"62331019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7143295536","display_name":null,"funder_award_id":"XJSJ24097","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1482071412","https://openalex.org/W1542873368","https://openalex.org/W1969698720","https://openalex.org/W2004491663","https://openalex.org/W2047870694","https://openalex.org/W2067897118","https://openalex.org/W2077028485","https://openalex.org/W2102586630","https://openalex.org/W2124463804","https://openalex.org/W2125188192","https://openalex.org/W2145962650","https://openalex.org/W2147042314","https://openalex.org/W2163129097","https://openalex.org/W2163957348","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2480706550","https://openalex.org/W2580772840","https://openalex.org/W2740976805","https://openalex.org/W2793117763","https://openalex.org/W2800662010","https://openalex.org/W2802866486","https://openalex.org/W2811215163","https://openalex.org/W2898121906","https://openalex.org/W2903882147","https://openalex.org/W2907943085","https://openalex.org/W2911876518","https://openalex.org/W2948256530","https://openalex.org/W2949079224","https://openalex.org/W2963885538","https://openalex.org/W2972480129","https://openalex.org/W2981778699","https://openalex.org/W3003955104","https://openalex.org/W3036980744","https://openalex.org/W3072262295","https://openalex.org/W3087883793","https://openalex.org/W3110907176","https://openalex.org/W3112037842","https://openalex.org/W3122722892","https://openalex.org/W3124851637","https://openalex.org/W3124863755","https://openalex.org/W3158401270","https://openalex.org/W3183846167","https://openalex.org/W3186256209","https://openalex.org/W3205581890","https://openalex.org/W3214193733","https://openalex.org/W4214806231","https://openalex.org/W4226078717","https://openalex.org/W4247811648","https://openalex.org/W4282929851","https://openalex.org/W4292257555","https://openalex.org/W4312965086","https://openalex.org/W4313590927","https://openalex.org/W4321770461","https://openalex.org/W4382930467","https://openalex.org/W4387415454","https://openalex.org/W4388624366","https://openalex.org/W4391759484","https://openalex.org/W4394938943","https://openalex.org/W4398151306","https://openalex.org/W4399039779","https://openalex.org/W4401635334","https://openalex.org/W4403278067"],"related_works":[],"abstract_inverted_index":{"In":[0,73],"hyperspectral":[1,37,171],"anomaly":[2],"detection":[3,154],"(HAD),":[4],"the":[5,15,22,28,32,63,68,76,94,105,119,129,135,146,164,177,181],"collaborative-representation-based":[6],"detector":[7],"(CRD)":[8],"has":[9],"recently":[10],"gained":[11],"significant":[12],"attention.":[13],"Nevertheless,":[14],"CRD":[16,29],"method's":[17],"ability":[18],"is":[19,124,167],"constrained":[20],"by":[21,83],"issue":[23],"of":[24,36,78,109,131,163],"background":[25,70,90],"contamination.":[26],"Meanwhile,":[27],"method":[30,179],"ignores":[31],"abundant":[33],"spatial":[34,115,151],"information":[35,87],"imagery.":[38],"To":[39],"address":[40],"these":[41],"two":[42],"issues,":[43],"this":[44,74],"paper":[45],"proposes":[46],"a":[47],"novel":[48],"HAD":[49],"algorithm":[50,60,96,137,166],"called":[51],"spectralspatial":[52],"enhanced":[53,64],"low-rank":[54,65],"collaborative":[55],"representation":[56],"(SSELRCR).":[57],"The":[58,161],"SSELRCR":[59,95,136,165,178],"first":[61],"extracts":[62],"tensor":[66,91,148],"as":[67],"updated":[69],"for":[71,185],"CRD.":[72],"way,":[75],"contamination":[77],"backgrounds":[79],"can":[80],"be":[81],"suppressed":[82],"exploiting":[84],"multidimensional":[85],"prominent":[86],"embedded":[88],"in":[89],"data.":[92],"Besides,":[93],"utilizes":[97,138],"attribute":[98,106],"filtering":[99],"and":[100,152],"differential":[101],"operations":[102],"to":[103,126,149],"extract":[104],"profiles":[107],"(APs)":[108],"abnormal":[110,132],"targets,":[111],"based":[112],"on":[113,145],"their":[114],"distribution":[116],"features.":[117],"Next,":[118],"total":[120],"variation":[121],"curvature":[122],"filter":[123],"applied":[125],"further":[127],"smooth":[128],"APs":[130],"targets.":[133],"Finally,":[134],"an":[139],"adaptive":[140],"fusion":[141,159],"strategy":[142],"that":[143,176],"relies":[144],"structure":[147],"fuse":[150],"spectral":[153],"maps":[155],"without":[156],"manually":[157],"setting":[158],"weights.":[160],"performance":[162],"assessed":[168],"using":[169],"six":[170],"datasets.":[172],"Experimental":[173],"results":[174],"demonstrate":[175],"outperforms":[180],"other":[182],"nine":[183],"methods":[184],"HAD.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-23T00:00:00"}
