{"id":"https://openalex.org/W2986829670","doi":"https://doi.org/10.1109/tgrs.2019.2947333","title":"Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition","display_name":"Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W2986829670","doi":"https://doi.org/10.1109/tgrs.2019.2947333","mag":"2986829670"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2947333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2947333","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/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7894-5755","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396564","display_name":"Lu Liu","orcid":"https://orcid.org/0000-0003-4570-6368"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024704138","display_name":"Wei He","orcid":"https://orcid.org/0000-0003-3410-0643"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project, Geoinformatics Unit, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3410-0643","affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project, Geoinformatics Unit, Tokyo, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.2321,"has_fulltext":false,"cited_by_count":167,"citation_normalized_percentile":{"value":0.98814505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"58","issue":"5","first_page":"3071","last_page":"3084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9990000128746033,"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":0.898680567741394},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6309822797775269},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5876967906951904},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5385341048240662},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5292588472366333},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5256437063217163},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.514444887638092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4922117292881012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4797895550727844},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45063087344169617},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4488442838191986},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4203892946243286},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09728303551673889}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.898680567741394},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6309822797775269},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5876967906951904},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5385341048240662},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5292588472366333},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5256437063217163},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.514444887638092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4922117292881012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4797895550727844},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45063087344169617},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4488442838191986},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4203892946243286},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09728303551673889},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2947333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2947333","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":[{"id":"https://openalex.org/G5068573622","display_name":null,"funder_award_id":"2018YFB0504500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6797973823","display_name":null,"funder_award_id":"41571362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8145771212","display_name":null,"funder_award_id":"61871298","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1944540851","https://openalex.org/W1963826206","https://openalex.org/W1964570608","https://openalex.org/W1974438823","https://openalex.org/W1978749115","https://openalex.org/W1986326495","https://openalex.org/W1994040806","https://openalex.org/W1997201895","https://openalex.org/W2000215628","https://openalex.org/W2002177959","https://openalex.org/W2016859302","https://openalex.org/W2024165284","https://openalex.org/W2053419820","https://openalex.org/W2056370875","https://openalex.org/W2057374579","https://openalex.org/W2060103814","https://openalex.org/W2069889146","https://openalex.org/W2070262806","https://openalex.org/W2073459066","https://openalex.org/W2082590963","https://openalex.org/W2086022711","https://openalex.org/W2087263574","https://openalex.org/W2095906131","https://openalex.org/W2097073572","https://openalex.org/W2098900561","https://openalex.org/W2119993761","https://openalex.org/W2127495569","https://openalex.org/W2129891925","https://openalex.org/W2131628350","https://openalex.org/W2133665775","https://openalex.org/W2153663612","https://openalex.org/W2155124307","https://openalex.org/W2161073299","https://openalex.org/W2161815745","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2169899245","https://openalex.org/W2329868263","https://openalex.org/W2414168010","https://openalex.org/W2464748116","https://openalex.org/W2528170672","https://openalex.org/W2591248827","https://openalex.org/W2595225690","https://openalex.org/W2604977491","https://openalex.org/W2624915162","https://openalex.org/W2735711969","https://openalex.org/W2747865121","https://openalex.org/W2765628749","https://openalex.org/W2790528326","https://openalex.org/W2792333848","https://openalex.org/W2793237446","https://openalex.org/W2896340099","https://openalex.org/W2901807228","https://openalex.org/W2901913663","https://openalex.org/W2907943085","https://openalex.org/W2964146769","https://openalex.org/W2964179170","https://openalex.org/W2972301798","https://openalex.org/W3098655664","https://openalex.org/W4292363360","https://openalex.org/W4297756334","https://openalex.org/W6643667962","https://openalex.org/W6668990524","https://openalex.org/W6679973066"],"related_works":["https://openalex.org/W2588406281","https://openalex.org/W2344001031","https://openalex.org/W3010678772","https://openalex.org/W2559187321","https://openalex.org/W1490451209","https://openalex.org/W3209466624","https://openalex.org/W1605636162","https://openalex.org/W2053223715","https://openalex.org/W2612397051","https://openalex.org/W2586189899"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"are":[3,76],"normally":[4],"corrupted":[5],"by":[6,40,81,87,136],"a":[7,31],"mixture":[8],"of":[9,17,119,143,164],"various":[10],"noise":[11],"types,":[12],"which":[13,50],"degrades":[14],"the":[15,18,23,36,59,66,82,101,105,110,117,120,127,138,160,165,170],"quality":[16],"acquired":[19],"image":[20],"and":[21,46,62,85,126,154,162],"limits":[22],"subsequent":[24],"application.":[25],"In":[26],"this":[27],"article,":[28],"we":[29,51],"propose":[30],"novel":[32],"denoising":[33,174],"method":[34,133,142,167],"for":[35],"HSI":[37,67,103,173],"restoration":[38],"task":[39],"combining":[41],"nonlocal":[42,60,122],"low-rank":[43,88,123],"tensor":[44,89,124],"decomposition":[45],"total":[47,92],"variation":[48,93],"regularization,":[49],"refer":[52],"to":[53,99],"as":[54],"TV-NLRTD.":[55],"To":[56],"simultaneously":[57],"capture":[58],"similarity":[61],"high":[63],"spectral":[64],"correlation,":[65],"is":[68,96,134],"first":[69],"segmented":[70],"into":[71,78],"overlapping":[72,107],"3-D":[73],"cubes":[74],"that":[75],"grouped":[77],"several":[79],"clusters":[80],"k-means++":[83],"algorithm":[84],"exploited":[86],"approximation.":[90],"Spatial-spectral":[91],"(SSTV)":[94],"regularization":[95],"then":[97],"investigated":[98],"restore":[100],"clean":[102,121],"from":[104],"denoised":[106],"cubes.":[108],"Meanwhile,":[109],"\u2113":[111],"<sub":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[114],"-norm":[115],"facilitates":[116],"separation":[118],"groups":[125],"sparse":[128],"noise.":[129],"The":[130,147],"proposed":[131,166],"TV-NLRTD":[132],"optimized":[135],"employing":[137],"efficient":[139],"alternating":[140],"direction":[141],"multipliers":[144],"(ADMM)":[145],"algorithm.":[146],"experimental":[148],"results":[149],"obtained":[150],"with":[151,169],"both":[152],"simulated":[153],"real":[155],"hyperspectral":[156],"data":[157],"sets":[158],"confirm":[159],"validity":[161],"superiority":[163],"compared":[168],"current":[171],"state-of-the-art":[172],"algorithms.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":15}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}