{"id":"https://openalex.org/W2805465265","doi":"https://doi.org/10.1109/tgrs.2018.2833473","title":"Spatial\u2013Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising","display_name":"Spatial\u2013Spectral Total Variation Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising","publication_year":2018,"publication_date":"2018-05-28","ids":{"openalex":"https://openalex.org/W2805465265","doi":"https://doi.org/10.1109/tgrs.2018.2833473","mag":"2805465265"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2833473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2833473","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/A5062011702","display_name":"Haiyan Fan","orcid":"https://orcid.org/0000-0002-2136-4853"},"institutions":[{"id":"https://openalex.org/I4210148107","display_name":"Space Engineering University","ror":"https://ror.org/04rj1td02","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210148107"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haiyan Fan","raw_affiliation_strings":["School of Space Command, Space Engineering University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Space Command, Space Engineering University, Beijing, China","institution_ids":["https://openalex.org/I4210148107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429518","display_name":"Chang Li","orcid":"https://orcid.org/0000-0002-1724-316X"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Li","raw_affiliation_strings":["Department of Biomedical Engineering, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032533885","display_name":"Yulan Guo","orcid":"https://orcid.org/0000-0001-7051-841X"},"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/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Guo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082887216","display_name":"Gangyao Kuang","orcid":"https://orcid.org/0000-0003-2620-889X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gangyao Kuang","raw_affiliation_strings":["School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040010053","display_name":"Jiayi Ma","orcid":"https://orcid.org/0000-0003-3264-3265"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Ma","raw_affiliation_strings":["Electronic Information School, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Electronic Information School, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062011702"],"corresponding_institution_ids":["https://openalex.org/I4210148107"],"apc_list":null,"apc_paid":null,"fwci":7.659,"has_fulltext":false,"cited_by_count":168,"citation_normalized_percentile":{"value":0.97993018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"56","issue":"10","first_page":"6196","last_page":"6213"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.8738610744476318},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6332871317863464},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6328686475753784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5706068277359009},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.543904185295105},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5223960876464844},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4781554639339447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.434765487909317},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4308055341243744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4261758327484131},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38864004611968994},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08970165252685547}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8738610744476318},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6332871317863464},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6328686475753784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706068277359009},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.543904185295105},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5223960876464844},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4781554639339447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.434765487909317},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4308055341243744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4261758327484131},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38864004611968994},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08970165252685547},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2833473","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2833473","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/G2364499236","display_name":null,"funder_award_id":"61601481","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3172734928","display_name":null,"funder_award_id":"BX201600172","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"},{"id":"https://openalex.org/G3634394074","display_name":null,"funder_award_id":"61471371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5111366145","display_name":null,"funder_award_id":"61602499","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5768711004","display_name":null,"funder_award_id":"61503288","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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320324150","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W623716242","https://openalex.org/W1944540851","https://openalex.org/W1965615696","https://openalex.org/W1965735782","https://openalex.org/W1969352102","https://openalex.org/W1976615758","https://openalex.org/W1977066218","https://openalex.org/W1981196578","https://openalex.org/W1985242206","https://openalex.org/W1992268468","https://openalex.org/W1992426838","https://openalex.org/W1994040806","https://openalex.org/W1994219736","https://openalex.org/W2024165284","https://openalex.org/W2030927653","https://openalex.org/W2033849598","https://openalex.org/W2043571470","https://openalex.org/W2053358078","https://openalex.org/W2053514113","https://openalex.org/W2067983477","https://openalex.org/W2072026894","https://openalex.org/W2080843093","https://openalex.org/W2082600204","https://openalex.org/W2087263574","https://openalex.org/W2107799335","https://openalex.org/W2110940063","https://openalex.org/W2126773133","https://openalex.org/W2129891925","https://openalex.org/W2133665775","https://openalex.org/W2136251662","https://openalex.org/W2145598948","https://openalex.org/W2145962650","https://openalex.org/W2160924560","https://openalex.org/W2162276208","https://openalex.org/W2163886442","https://openalex.org/W2166864699","https://openalex.org/W2171520281","https://openalex.org/W2256634236","https://openalex.org/W2266694576","https://openalex.org/W2289756263","https://openalex.org/W2295336607","https://openalex.org/W2333549353","https://openalex.org/W2336104109","https://openalex.org/W2344025572","https://openalex.org/W2401672073","https://openalex.org/W2409172398","https://openalex.org/W2480706550","https://openalex.org/W2496621835","https://openalex.org/W2591248827","https://openalex.org/W2604977491","https://openalex.org/W2809795042","https://openalex.org/W2963086069","https://openalex.org/W2964214749","https://openalex.org/W3099187963","https://openalex.org/W3104072696"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W2019190440","https://openalex.org/W2343470940","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Several":[0],"bandwise":[1,46,161],"total":[2],"variation":[3],"(TV)":[4],"regularized":[5,67,205],"low-rank":[6],"(LR)-based":[7],"models":[8],"have":[9],"been":[10],"proposed":[11,189],"to":[12,73,87,122,168,201],"remove":[13,74],"mixed":[14,75],"noise":[15,76],"in":[16,53,77,89,126,135],"hyperspectral":[17,83,101],"images":[18],"(HSIs).":[19],"These":[20,145],"methods":[21,48],"convert":[22],"high-dimensional":[23],"HSI":[24,196],"data":[25,28,84,184],"into":[26],"2-D":[27],"based":[29],"on":[30],"LR":[31,68,91,110],"matrix":[32],"factorization.":[33],"This":[34],"strategy":[35],"introduces":[36],"the":[37,50,82,96,109,127,137,148,151,158,165,188,202],"loss":[38],"of":[39,100,150,160,177],"useful":[40],"multiway":[41],"structure":[42,99,173],"information.":[43],"Moreover,":[44],"these":[45,60],"TV-based":[47],"exploit":[49,95],"spatial":[51,128,138,172],"information":[52],"a":[54,64],"separate":[55,108],"manner.":[56],"To":[57,156],"cope":[58],"with":[59,153],"problems,":[61],"we":[62,163],"propose":[63],"spatial\u2013spectral":[65],"TV":[66,131,154,204],"tensor":[69],"factorization":[70],"(SSTV-LRTF)":[71],"method":[72,105,191],"HSIs.":[78],"From":[79,116],"one":[80],"aspect,":[81,118],"are":[85,120],"assumed":[86,121],"lie":[88],"an":[90],"tensor,":[92],"which":[93],"can":[94,106],"inherent":[97],"tensorial":[98],"data.":[102],"The":[103,130],"LRTF-based":[104],"effectively":[107],"clean":[111],"image":[112],"from":[113],"sparse":[114],"noise.":[115,144],"another":[117],"HSIs":[119],"be":[123],"piecewisely":[124],"smooth":[125],"domain.":[129],"regularization":[132,167],"is":[133],"effective":[134],"preserving":[136],"piecewise":[139],"smoothness":[140],"and":[141,174,182,206],"removing":[142],"Gaussian":[143],"facts":[146],"inspire":[147],"integration":[149],"LRTF":[152],"regularization.":[155],"address":[157],"limitations":[159],"TV,":[162],"use":[164],"SSTV":[166],"simultaneously":[169],"consider":[170],"local":[171],"spectral":[175],"correlation":[176],"neighboring":[178],"bands.":[179],"Both":[180],"simulated":[181],"real":[183],"experiments":[185],"demonstrate":[186],"that":[187],"SSTV-LRTF":[190],"achieves":[192],"superior":[193],"performance":[194],"for":[195],"mixed-noise":[197],"removal,":[198],"as":[199],"compared":[200],"state-of-the-art":[203],"LR-based":[207],"methods.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":35},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
