{"id":"https://openalex.org/W4293428587","doi":"https://doi.org/10.1109/tgrs.2022.3202359","title":"Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising","display_name":"Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4293428587","doi":"https://doi.org/10.1109/tgrs.2022.3202359"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3202359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3202359","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/A5100454404","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-5052-5919"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-5052-5919","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, P. R. China","institution_ids":["https://openalex.org/I53592917"]}]},{"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/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":"Wei He","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3410-0643","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/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","School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-6540-946X","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"]},{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065782725","display_name":"Ting\u2010Zhu Huang","orcid":"https://orcid.org/0000-0001-7766-230X"},"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":"Ting-Zhu Huang","raw_affiliation_strings":["School of Mathematical Sciences, Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, China","School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China"],"raw_orcid":"https://orcid.org/0000-0001-7766-230X","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"]},{"raw_affiliation_string":"School of Mathematical Sciences/Research Center for Image and Vision Computing, University of Electronic Science and Technology of China, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440528","display_name":"Jinshan Zeng","orcid":"https://orcid.org/0000-0003-1719-3358"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshan Zeng","raw_affiliation_strings":["School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-1719-3358","affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Jiangxi Normal University, Nanchang, P. R. China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022485210","display_name":"Hui Lin","orcid":"https://orcid.org/0000-0002-5943-2583"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Lin","raw_affiliation_strings":["Key Laboratory of Poyang Lake Wetland and Watershed Research of Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Poyang Lake Wetland and Watershed Research of Ministry of Education, School of Geography and Environment, Jiangxi Normal University, Nanchang, China","institution_ids":["https://openalex.org/I53592917"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3485,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9005229,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6807312965393066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6206103563308716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6155377626419067},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5668860077857971},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.532202422618866},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.503534734249115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4832199811935425},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.4803803563117981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44195759296417236},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.43652868270874023},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43308258056640625},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4171156585216522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3242976665496826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13490676879882812}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6807312965393066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6206103563308716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6155377626419067},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5668860077857971},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.532202422618866},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.503534734249115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4832199811935425},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.4803803563117981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44195759296417236},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.43652868270874023},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43308258056640625},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4171156585216522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3242976665496826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13490676879882812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3202359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3202359","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":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1628077028","display_name":null,"funder_award_id":"2020YFA0714001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G341010984","display_name":null,"funder_award_id":"61977038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3778334585","display_name":null,"funder_award_id":"12171072","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4138776780","display_name":null,"funder_award_id":"42271370","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4984401012","display_name":null,"funder_award_id":"2020YJ0216","funder_id":"https://openalex.org/F4320333337","funder_display_name":"Applied Basic Research Program of Sichuan Province"},{"id":"https://openalex.org/G5614044589","display_name":null,"funder_award_id":"62101222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8330053271","display_name":null,"funder_award_id":"61876203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8452570760","display_name":null,"funder_award_id":"U1811464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8512320066","display_name":null,"funder_award_id":"2021YJ0107","funder_id":"https://openalex.org/F4320333337","funder_display_name":"Applied Basic Research Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333337","display_name":"Applied Basic Research Program of Sichuan Province","ror":null},{"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":74,"referenced_works":["https://openalex.org/W1944540851","https://openalex.org/W1968154520","https://openalex.org/W1974933922","https://openalex.org/W1974961764","https://openalex.org/W1985242206","https://openalex.org/W1994040806","https://openalex.org/W2021302824","https://openalex.org/W2031007444","https://openalex.org/W2039596145","https://openalex.org/W2053514113","https://openalex.org/W2070424424","https://openalex.org/W2075157914","https://openalex.org/W2090457307","https://openalex.org/W2095906131","https://openalex.org/W2127077132","https://openalex.org/W2131435655","https://openalex.org/W2133665775","https://openalex.org/W2140702875","https://openalex.org/W2141983208","https://openalex.org/W2155124307","https://openalex.org/W2160484748","https://openalex.org/W2162276208","https://openalex.org/W2163886442","https://openalex.org/W2171520281","https://openalex.org/W2289756263","https://openalex.org/W2336406062","https://openalex.org/W2528170672","https://openalex.org/W2724686744","https://openalex.org/W2743606449","https://openalex.org/W2747865121","https://openalex.org/W2755992512","https://openalex.org/W2767511704","https://openalex.org/W2790528326","https://openalex.org/W2790888198","https://openalex.org/W2793218933","https://openalex.org/W2805465265","https://openalex.org/W2807653699","https://openalex.org/W2910457605","https://openalex.org/W2914736033","https://openalex.org/W2919868964","https://openalex.org/W2962747489","https://openalex.org/W2964179170","https://openalex.org/W2972301798","https://openalex.org/W2979001238","https://openalex.org/W2982007765","https://openalex.org/W2994639710","https://openalex.org/W2998841120","https://openalex.org/W3012136461","https://openalex.org/W3012209675","https://openalex.org/W3013064625","https://openalex.org/W3017506038","https://openalex.org/W3090929676","https://openalex.org/W3103919952","https://openalex.org/W3105298104","https://openalex.org/W3118914778","https://openalex.org/W3132115664","https://openalex.org/W3153800554","https://openalex.org/W3154593456","https://openalex.org/W3166943687","https://openalex.org/W3168052222","https://openalex.org/W3171243408","https://openalex.org/W3173732000","https://openalex.org/W3188774019","https://openalex.org/W3193840306","https://openalex.org/W3198251760","https://openalex.org/W3201553497","https://openalex.org/W3202708053","https://openalex.org/W3211474784","https://openalex.org/W4206319168","https://openalex.org/W4206390268","https://openalex.org/W4210330613","https://openalex.org/W4225630686","https://openalex.org/W6752619511","https://openalex.org/W6803312822"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2374021060","https://openalex.org/W1982147402","https://openalex.org/W1976208764"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1,47,61,131],"(HSI)":[2],"denoising":[3,222],"has":[4,28],"been":[5],"regarded":[6],"as":[7,147],"an":[8],"effective":[9],"and":[10,62,118,173,206],"economical":[11],"preprocessing":[12],"step":[13],"in":[14,93],"data":[15],"subsequent":[16],"applications.":[17],"Recent":[18],"nonlocal":[19,76,124,145,149],"low-rank":[20,41,150],"approximation":[21,151],"on":[22],"each":[23],"full":[24],"band":[25,116],"patch":[26,46,60],"group":[27,77,125,137],"demonstrated":[29],"their":[30],"superiority":[31,212],"for":[32,84],"HSI":[33,85,106,208,221],"denoising.":[34,86],"These":[35],"methods,":[36],"however,":[37],"directly":[38],"design":[39],"the":[40,44,54,58,65,89,94,105,109,114,129,144,156,162,167,178,184,199,211,214,219],"regularization":[42],"to":[43,107,197],"grouped":[45,59],"itself":[48],"(i.e.,":[49],"original":[50],"domain),":[51],"which":[52],"ignores":[53],"spatial":[55,158],"information":[56],"of":[57,128,161,213],"cannot":[63],"explores":[64],"potential":[66],"structure.":[67],"To":[68],"address":[69],"these":[70],"issues,":[71],"this":[72],"paper":[73],"proposes":[74],"a":[75,99,121],"sparsifying":[78],"transform":[79,133,169,179],"learning":[80,180],"method":[81,217],"(dubbed":[82],"TLNLGS)":[83],"Motivated":[87],"by":[88,132],"global":[90],"spectral":[91,115],"correlation":[92],"HSI,":[95],"we":[96],"firstly":[97],"impose":[98],"certain":[100],"low-dimensional":[101],"subspace":[102],"hypothesis":[103],"over":[104,218],"prevent":[108],"heavy":[110],"computation":[111],"burden":[112],"with":[113,166],"increases,":[117],"then":[119],"explore":[120],"discriminatively":[122],"intrinsic":[123],"sparse":[126,138,185],"prior":[127,139],"reduced":[130],"model.":[134,201],"The":[135],"learned":[136],"can":[140,182],"not":[141],"only":[142],"excavate":[143],"self-similarity":[146],"recent":[148],"methods":[152],"but":[153],"also":[154],"preserve":[155],"local":[157],"smooth":[159],"structure":[160],"image.":[163],"Moreover,":[164],"compared":[165],"fixed":[168],"domain":[170],"(e.g.,":[171],"gradient":[172],"discrete":[174],"cosine":[175],"transformation":[176],"domains),":[177],"scheme":[181],"improve":[183],"representation":[186],"ability.":[187],"An":[188],"efficient":[189],"block":[190],"coordinate":[191],"descent":[192],"(BCD)":[193],"algorithm":[194],"is":[195],"developed":[196],"solve":[198],"proposed":[200,215],"Extensive":[202],"experiments,":[203],"including":[204],"simulated":[205],"real":[207],"datasets,":[209],"indicate":[210],"TLNLGS":[216],"state-of-the-art":[220],"approaches.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
