{"id":"https://openalex.org/W3118914778","doi":"https://doi.org/10.1109/tgrs.2020.3046038","title":"Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations","display_name":"Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations","publication_year":2021,"publication_date":"2021-01-09","ids":{"openalex":"https://openalex.org/W3118914778","doi":"https://doi.org/10.1109/tgrs.2020.3046038","mag":"3118914778"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.3046038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3046038","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/A5022920106","display_name":"Lina Zhuang","orcid":"https://orcid.org/0000-0002-9622-6535"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lina Zhuang","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-9622-6535","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053152303","display_name":"Xiyou Fu","orcid":"https://orcid.org/0000-0003-2936-2681"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiyou Fu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2936-2681","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Michael K. Ng","raw_affiliation_strings":["Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6833-5227","affiliations":[{"raw_affiliation_string":"Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose M. Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisbon, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0166-5149","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisbon, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9869,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.98439057,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"59","issue":"12","first_page":"10438","last_page":"10454"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.998199999332428,"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":0.9979000091552734,"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":0.6248306632041931},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6145462393760681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670410394668579},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5285781025886536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5119177103042603},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4411900043487549},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4298568069934845},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.42335420846939087},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.42145973443984985},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42120561003685},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4206002950668335},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4172933101654053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3893227279186249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3613896369934082},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1194106936454773}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6248306632041931},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6145462393760681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670410394668579},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5285781025886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5119177103042603},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4411900043487549},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4298568069934845},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.42335420846939087},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.42145973443984985},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42120561003685},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4206002950668335},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4172933101654053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3893227279186249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3613896369934082},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1194106936454773},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/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.2020.3046038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.3046038","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/G2142109090","display_name":null,"funder_award_id":"42001287","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6856027503","display_name":null,"funder_award_id":"104005583","funder_id":"https://openalex.org/F4320322170","funder_display_name":"University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W93530381","https://openalex.org/W1944540851","https://openalex.org/W1965221572","https://openalex.org/W1974438823","https://openalex.org/W1979231253","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W2006262045","https://openalex.org/W2011147915","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2057197276","https://openalex.org/W2070424424","https://openalex.org/W2081940622","https://openalex.org/W2097073572","https://openalex.org/W2106084579","https://openalex.org/W2135065661","https://openalex.org/W2154011501","https://openalex.org/W2158400785","https://openalex.org/W2163886442","https://openalex.org/W2289756263","https://openalex.org/W2293192724","https://openalex.org/W2404494728","https://openalex.org/W2469230926","https://openalex.org/W2603834682","https://openalex.org/W2790888198","https://openalex.org/W2793775875","https://openalex.org/W2914736033","https://openalex.org/W2962747489","https://openalex.org/W2964179170","https://openalex.org/W2967530387","https://openalex.org/W2972301798","https://openalex.org/W2980079746","https://openalex.org/W2990162903","https://openalex.org/W3012136461","https://openalex.org/W3017506038","https://openalex.org/W3021083191","https://openalex.org/W3027112496","https://openalex.org/W3103919952","https://openalex.org/W3105364218","https://openalex.org/W3139312239","https://openalex.org/W6603787252","https://openalex.org/W6713542139","https://openalex.org/W6719972455","https://openalex.org/W6745705539"],"related_works":["https://openalex.org/W2292979300","https://openalex.org/W2782904003","https://openalex.org/W4226434912","https://openalex.org/W2118633810","https://openalex.org/W4294224199","https://openalex.org/W2150953077","https://openalex.org/W2002598339","https://openalex.org/W2920931670","https://openalex.org/W1995410415","https://openalex.org/W4391768977"],"abstract_inverted_index":{"The":[0,42,71,106,120],"ever-increasing":[1],"spectral":[2],"resolution":[3],"of":[4,14,21,115,128,136,167,175],"hyperspectral":[5],"images":[6],"(HSIs)":[7],"is":[8,57,74,108,146,156,170],"often":[9],"obtained":[10],"at":[11],"the":[12,18,22,32,47,52,67,80,89,96,101,125,129,143,173],"cost":[13],"a":[15,75,111,141,159],"decrease":[16],"in":[17,36,59,158],"signal-to-noise":[19],"ratio":[20],"measurements,":[23],"thus":[24,93],"calling":[25],"for":[26],"effective":[27],"denoising":[28,81,97],"techniques.":[29],"HSIs":[30],"from":[31,46],"real":[33],"world":[34],"lie":[35],"low-dimensional":[37],"subspaces":[38],"and":[39,55,99,149],"are":[40],"self-similar.":[41],"low":[43,72],"dimensionality":[44,73],"stems":[45],"high":[48],"correlation":[49],"existing":[50],"among":[51],"reflectance":[53],"vectors,":[54],"self-similarity":[56,107],"common":[58],"real-world":[60],"images.":[61],"In":[62],"this":[63,168],"article,":[64],"we":[65],"exploit":[66],"above":[68],"two":[69],"properties.":[70],"global":[76],"property":[77],"that":[78],"enables":[79],"to":[82,88,151],"be":[83],"formulated":[84],"just":[85],"with":[86,161],"respect":[87],"subspace":[90],"representation":[91],"coefficients,":[92],"greatly":[94],"improving":[95],"performance":[98],"reducing":[100],"computational":[102],"complexity":[103],"during":[104],"processing.":[105],"exploited":[109],"via":[110],"low-rank":[112,137],"tensor":[113,138],"factorization":[114,122],"nonlocal":[116],"similar":[117],"3-D":[118],"patches.":[119],"proposed":[121,144],"hinges":[123],"on":[124],"optimal":[126],"shrinkage/thresholding":[127],"singular":[130,134],"value":[131],"decomposition":[132],"(SVD)":[133],"values":[135],"unfoldings.":[139],"As":[140],"result,":[142],"method":[145],"user":[147],"friendly":[148],"insensitive":[150],"its":[152],"parameters.":[153],"Its":[154],"effectiveness":[155],"illustrated":[157],"comparison":[160],"state-of-the-art":[162],"competitors.":[163],"A":[164],"MATLAB":[165],"demo":[166],"work":[169],"available":[171],"athttps://github.com/LinaZhuangfor":[172],"sake":[174],"reproducibility.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":36},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
