{"id":"https://openalex.org/W4210771532","doi":"https://doi.org/10.1109/jstars.2022.3147195","title":"Reweighted Nuclear Norm and Total Variation Regularization With Sparse Dictionary Construction for Hyperspectral Anomaly Detection","display_name":"Reweighted Nuclear Norm and Total Variation Regularization With Sparse Dictionary Construction for Hyperspectral Anomaly Detection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4210771532","doi":"https://doi.org/10.1109/jstars.2022.3147195"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2022.3147195","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3147195","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09699099.pdf","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://ieeexplore.ieee.org/ielx7/4609443/9656571/09699099.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100442802","display_name":"Xiaoyi Wang","orcid":"https://orcid.org/0000-0003-2140-6782"},"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":true,"raw_author_name":"Xiaoyi Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100636411","display_name":"Liguo Wang","orcid":"https://orcid.org/0000-0001-9373-6233"},"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"]},{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liguo Wang","raw_affiliation_strings":["College of Information and Communication Engineering, Dalian Minzu University, Dalian, China","College of Information and Communication Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0001-9373-6233","affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Dalian Minzu University, Dalian, China","institution_ids":["https://openalex.org/I61565387"]},{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100691864","display_name":"Jiawen Wang","orcid":"https://orcid.org/0000-0003-2317-1390"},"institutions":[{"id":"https://openalex.org/I4210088244","display_name":"Shanghai Micro Satellite Engineering Center","ror":"https://ror.org/003cp7918","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210088244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Wang","raw_affiliation_strings":["Shanghai Institute of Satellite Engineering, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Satellite Engineering, Shanghai, China","institution_ids":["https://openalex.org/I4210088244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101071761","display_name":"Kaipeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088244","display_name":"Shanghai Micro Satellite Engineering Center","ror":"https://ror.org/003cp7918","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210088244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaipeng Sun","raw_affiliation_strings":["Shanghai Institute of Satellite Engineering, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Satellite Engineering, Shanghai, China","institution_ids":["https://openalex.org/I4210088244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005729523","display_name":"Qunming Wang","orcid":"https://orcid.org/0000-0002-5188-0939"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qunming Wang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5188-0939","affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100442802"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":0.9044,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75871659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":null,"first_page":"1775","last_page":"1790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9817000031471252,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8485036492347717},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7101947069168091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5992059707641602},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5022079944610596},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.4959751069545746},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.49210017919540405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796712398529053},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.44714364409446716},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.43693995475769043},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4353031814098358},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4255520701408386},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.41800305247306824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38828545808792114},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.2902577519416809},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15574640035629272},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10700145363807678},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.0727214515209198}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8485036492347717},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7101947069168091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5992059707641602},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5022079944610596},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.4959751069545746},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.49210017919540405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796712398529053},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.44714364409446716},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.43693995475769043},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4353031814098358},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4255520701408386},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.41800305247306824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38828545808792114},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.2902577519416809},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15574640035629272},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10700145363807678},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0727214515209198},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstars.2022.3147195","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3147195","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09699099.pdf","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:d3875674ad5444c9b9211f4a32f59fa2","is_oa":true,"landing_page_url":"https://doaj.org/article/d3875674ad5444c9b9211f4a32f59fa2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1775-1790 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/jstars.2022.3147195","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jstars.2022.3147195","pdf_url":"https://ieeexplore.ieee.org/ielx7/4609443/9656571/09699099.pdf","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/G1890349228","display_name":null,"funder_award_id":"02502350047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2350366763","display_name":null,"funder_award_id":"41971297","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3694219038","display_name":null,"funder_award_id":"42171345","funder_id":"https://openalex.org/F4320322449","funder_display_name":"Tongji University"},{"id":"https://openalex.org/G4598229246","display_name":null,"funder_award_id":"Grant 02502350047","funder_id":"https://openalex.org/F4320322449","funder_display_name":"Tongji University"},{"id":"https://openalex.org/G4686674456","display_name":null,"funder_award_id":"02502350047","funder_id":"https://openalex.org/F4320322449","funder_display_name":"Tongji University"},{"id":"https://openalex.org/G7424700364","display_name":null,"funder_award_id":"62071084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G809463788","display_name":null,"funder_award_id":"41971297","funder_id":"https://openalex.org/F4320322449","funder_display_name":"Tongji University"},{"id":"https://openalex.org/G8971197728","display_name":null,"funder_award_id":"42171345","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/F4320322449","display_name":"Tongji University","ror":"https://ror.org/03rc6as71"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210771532.pdf","grobid_xml":"https://content.openalex.org/works/W4210771532.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2004491663","https://openalex.org/W2021302824","https://openalex.org/W2040078680","https://openalex.org/W2042442393","https://openalex.org/W2047870694","https://openalex.org/W2048625826","https://openalex.org/W2097381359","https://openalex.org/W2121058967","https://openalex.org/W2124463804","https://openalex.org/W2160547390","https://openalex.org/W2163816481","https://openalex.org/W2164278908","https://openalex.org/W2280622051","https://openalex.org/W2288752886","https://openalex.org/W2295576075","https://openalex.org/W2424277038","https://openalex.org/W2497075055","https://openalex.org/W2548237597","https://openalex.org/W2552406626","https://openalex.org/W2604977491","https://openalex.org/W2890376060","https://openalex.org/W2901425044","https://openalex.org/W2917189553","https://openalex.org/W2972480129","https://openalex.org/W2990709406","https://openalex.org/W2999536074","https://openalex.org/W3005109735","https://openalex.org/W3021090805","https://openalex.org/W3023670885","https://openalex.org/W3028000844","https://openalex.org/W3031385348","https://openalex.org/W3035015656","https://openalex.org/W3036007026","https://openalex.org/W3037306899","https://openalex.org/W3038851053","https://openalex.org/W3045657924","https://openalex.org/W3082550982","https://openalex.org/W3083068801","https://openalex.org/W3087931076","https://openalex.org/W3089820912","https://openalex.org/W3095567726","https://openalex.org/W3112037842","https://openalex.org/W3123098349","https://openalex.org/W3127230150","https://openalex.org/W3164449918","https://openalex.org/W3195044646","https://openalex.org/W3196267160"],"related_works":["https://openalex.org/W1971373099","https://openalex.org/W2030972733","https://openalex.org/W3121932492","https://openalex.org/W2776058083","https://openalex.org/W2113038107","https://openalex.org/W2595939133","https://openalex.org/W2010100052","https://openalex.org/W3104088881","https://openalex.org/W2375153009","https://openalex.org/W2906988372"],"abstract_inverted_index":{"Hyperspectral":[0],"anomaly":[1,35,43,205],"detection":[2,38,60,206],"is":[3,45],"an":[4,29,125],"important":[5],"technique":[6],"in":[7,33,200],"the":[8,16,41,52,59,64,91,95,105,111,115,122,155,159,183,208],"field":[9],"of":[10,40,107,124,158],"remote":[11],"sensing":[12],"image":[13],"processing.":[14],"Over":[15],"last":[17],"few":[18],"years,":[19],"low":[20,137],"rank":[21,138],"and":[22,51,68,86,98,132,182],"sparse":[23,101],"matrix":[24],"decomposition":[25],"(LRSMD)":[26],"has":[27],"played":[28],"increasingly":[30],"significant":[31],"role":[32],"hyperspectral":[34,77,160,196],"detection.":[36],"The":[37,191],"performance":[39],"LRSMD-based":[42],"detectors":[44],"primarily":[46],"determined":[47],"by":[48,170],"prior":[49,92],"constraints":[50,93],"background":[53,102,166,175,184],"dictionary":[54,103,167,176],"construction":[55,75,168],"method.":[56],"To":[57],"increase":[58],"accuracy,":[61],"we":[62,163],"proposed":[63,164,209],"reWeighted":[65],"Nuclear":[66],"Norm":[67],"total":[69,87,141],"variation":[70,88,142],"regularization":[71,143],"with":[72],"Sparse":[73],"Dictionary":[74],"for":[76,128],"Anomaly":[78],"Detection":[79],"(WNNSDAD),":[80],"which":[81,151,171],"incorporated":[82],"reweighted":[83,116],"nuclear":[84,113,117],"norm":[85,118],"regularizations":[89],"as":[90,146],"into":[94],"LRSMD":[96],"model,":[97],"constructed":[99],"a":[100,129,134,147,165,172],"without":[104,180],"need":[106],"clustering.":[108],"Compared":[109],"to":[110,120,153,202],"standard":[112],"norm,":[114],"helped":[119,152],"overcome":[121],"challenge":[123],"unbalanced":[126],"penalty":[127],"singular":[130],"value":[131],"ensure":[133],"more":[135,189],"effective":[136],"approximation.":[139],"Simultaneously,":[140],"was":[144],"introduced":[145],"piecewise":[148],"smoothing":[149],"constraint,":[150],"maintain":[154],"spatial":[156],"correlation":[157],"image.":[161],"Additionally,":[162],"method,":[169],"relatively":[173],"complete":[174],"could":[177,186],"be":[178,187],"obtained":[179],"clustering,":[181],"part":[185],"represented":[188],"reliably.":[190],"experiments":[192],"on":[193],"seven":[194],"real-world":[195],"datasets":[197],"show":[198],"that":[199],"comparison":[201],"eight":[203],"state-of-the-art":[204],"methods,":[207],"WNNSDAD":[210],"method":[211],"demonstrated":[212],"greater":[213],"accuracy.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}