{"id":"https://openalex.org/W2952532836","doi":"https://doi.org/10.1109/access.2019.2923255","title":"Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising","display_name":"Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952532836","doi":"https://doi.org/10.1109/access.2019.2923255","mag":"2952532836"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2923255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737679.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053828563","display_name":"Guanqun Ma","orcid":"https://orcid.org/0000-0001-8102-3172"},"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":true,"raw_author_name":"Guanqun Ma","raw_affiliation_strings":["Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8102-3172","affiliations":[{"raw_affiliation_string":"Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 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/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":"Ting-Zhu Huang","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-7766-230X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029236040","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0002-7684-2533"},"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":"Jie Huang","raw_affiliation_strings":["Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7684-2533","affiliations":[{"raw_affiliation_string":"Research Center for Image and Vision Computing, School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023095035","display_name":"Chaochao Zheng","orcid":null},"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":"Chao-Chao Zheng","raw_affiliation_strings":["Department of Mathematics, Hong Kong Baptist University, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, Hong Kong","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053828563"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.1226,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82155519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"79850","last_page":"79865"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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":0.9175947904586792},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7135512828826904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6568779945373535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047890186309814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5925459265708923},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5677812099456787},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5295794010162354},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.4993908405303955},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4975261986255646},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.4761626422405243},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4557556211948395},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4488445222377777},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42102915048599243},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4129157066345215},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.411857545375824},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3533669710159302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2831423878669739}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9175947904586792},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7135512828826904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6568779945373535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047890186309814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5925459265708923},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5677812099456787},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5295794010162354},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.4993908405303955},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4975261986255646},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4761626422405243},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4557556211948395},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4488445222377777},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42102915048599243},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4129157066345215},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.411857545375824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3533669710159302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2831423878669739},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2923255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:93a519ee5c32452cb5568f9a37e6142b","is_oa":true,"landing_page_url":"https://doaj.org/article/93a519ee5c32452cb5568f9a37e6142b","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 Access, Vol 7, Pp 79850-79865 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2923255","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2923255","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08737679.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1993057369","display_name":null,"funder_award_id":"61702083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2751002267","display_name":null,"funder_award_id":"61772003","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/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952532836.pdf","grobid_xml":"https://content.openalex.org/works/W2952532836.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W571150846","https://openalex.org/W795930426","https://openalex.org/W817041652","https://openalex.org/W1897878572","https://openalex.org/W1944540851","https://openalex.org/W1964315230","https://openalex.org/W1971358070","https://openalex.org/W1974438823","https://openalex.org/W1979646128","https://openalex.org/W1988868707","https://openalex.org/W1994040806","https://openalex.org/W2009276301","https://openalex.org/W2018990310","https://openalex.org/W2022260585","https://openalex.org/W2023005931","https://openalex.org/W2026149562","https://openalex.org/W2029786966","https://openalex.org/W2039596145","https://openalex.org/W2040511445","https://openalex.org/W2048695508","https://openalex.org/W2053514113","https://openalex.org/W2056370875","https://openalex.org/W2078146345","https://openalex.org/W2103972604","https://openalex.org/W2121058967","https://openalex.org/W2133665775","https://openalex.org/W2146842127","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2161073299","https://openalex.org/W2293524743","https://openalex.org/W2414009677","https://openalex.org/W2414168010","https://openalex.org/W2480706550","https://openalex.org/W2490201121","https://openalex.org/W2505029951","https://openalex.org/W2591248827","https://openalex.org/W2601517469","https://openalex.org/W2617818785","https://openalex.org/W2617982036","https://openalex.org/W2620572300","https://openalex.org/W2620858446","https://openalex.org/W2624915162","https://openalex.org/W2752716059","https://openalex.org/W2763070725","https://openalex.org/W2773415061","https://openalex.org/W2790346082","https://openalex.org/W2806155925","https://openalex.org/W2807527255","https://openalex.org/W2809801483","https://openalex.org/W2898165830","https://openalex.org/W2903268675","https://openalex.org/W2905114999","https://openalex.org/W2913935587","https://openalex.org/W2914429466","https://openalex.org/W3098435832","https://openalex.org/W3099180803","https://openalex.org/W4300420063"],"related_works":["https://openalex.org/W2969683494","https://openalex.org/W2374021060","https://openalex.org/W2753062694","https://openalex.org/W2098237619","https://openalex.org/W2080558231","https://openalex.org/W2620713272","https://openalex.org/W2319068262","https://openalex.org/W2097073572","https://openalex.org/W2896992134","https://openalex.org/W3046917719"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"denoising":[3,29,56],"is":[4,17,75],"a":[5,9,45],"fundamental":[6],"task":[7],"in":[8],"plethora":[10],"of":[11,25,35],"HSI":[12,50,55],"applications.":[13],"Global":[14],"low-rank":[15,39,60],"property":[16],"widely":[18,87],"adopted":[19],"to":[20,43,77],"exploit":[21],"the":[22,37,71,79,93],"spectral-spatial":[23],"information":[24],"HSIs,":[26],"providing":[27],"satisfactory":[28],"results.":[30],"In":[31,69],"this":[32],"paper,":[33],"instead":[34],"adopting":[36],"global":[38],"property,":[40],"we":[41],"propose":[42],"adopt":[44],"local":[46,59],"low":[47],"rankness":[48],"for":[49],"denoising.":[51],"We":[52],"develop":[53],"an":[54,65],"method":[57,95],"via":[58],"and":[61,101],"sparse":[62],"representation,":[63],"under":[64],"alternative":[66],"minimization":[67],"framework.":[68],"addition,":[70],"weighted":[72],"nuclear":[73],"norm":[74],"used":[76,88],"enhance":[78],"sparsity":[80],"on":[81,86],"singular":[82],"values.":[83],"The":[84],"experiments":[85],"hyperspectral":[89],"datasets":[90],"demonstrate":[91],"that":[92],"proposed":[94],"outperforms":[96],"several":[97],"state-of-the-art":[98],"methods":[99],"visually":[100],"quantitatively.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}