{"id":"https://openalex.org/W3133237820","doi":"https://doi.org/10.1109/tcyb.2021.3051656","title":"Adaptive Rank and Structured Sparsity Corrections for Hyperspectral Image Restoration","display_name":"Adaptive Rank and Structured Sparsity Corrections for Hyperspectral Image Restoration","publication_year":2021,"publication_date":"2021-02-20","ids":{"openalex":"https://openalex.org/W3133237820","doi":"https://doi.org/10.1109/tcyb.2021.3051656","mag":"3133237820","pmid":"https://pubmed.ncbi.nlm.nih.gov/33606649"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3051656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3051656","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101773688","display_name":"Ting Xie","orcid":"https://orcid.org/0000-0002-0243-3112"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Xie","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0243-3112","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0585-9848","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100887115","display_name":"Jibao Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210088225","display_name":"China National Space Administration","ror":"https://ror.org/004vanv95","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210088225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jibao Lai","raw_affiliation_strings":["Earth Observation System and Data Center, China National Space Administration, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Earth Observation System and Data Center, China National Space Administration, Beijing, China","institution_ids":["https://openalex.org/I4210088225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0673,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.78482605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"52","issue":"9","first_page":"8729","last_page":"8740"},"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":0.9997000098228455,"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":0.9991000294685364,"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":0.8601539134979248},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.737190842628479},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6130573749542236},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5124607682228088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47158682346343994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46068552136421204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43242311477661133},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38281944394111633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36201825737953186},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.22188451886177063},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1403011679649353}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8601539134979248},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.737190842628479},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6130573749542236},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5124607682228088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47158682346343994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46068552136421204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43242311477661133},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38281944394111633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36201825737953186},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.22188451886177063},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1403011679649353}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3051656","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3051656","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:33606649","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33606649","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6234532813","display_name":null,"funder_award_id":"2018TP1013","funder_id":"https://openalex.org/F4320330458","funder_display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province"},{"id":"https://openalex.org/G6360111667","display_name":null,"funder_award_id":"2017TJ-Q09","funder_id":"https://openalex.org/F4320331108","funder_display_name":"Hunan Association for Science and Technology"},{"id":"https://openalex.org/G898426514","display_name":null,"funder_award_id":"61520106001","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/F4320330458","display_name":"Key Laboratory of Visual Perception and Artificial Intelligence of Hunan Province","ror":null},{"id":"https://openalex.org/F4320331108","display_name":"Hunan Association for Science and Technology","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1799946925","https://openalex.org/W1944540851","https://openalex.org/W1974438823","https://openalex.org/W1985242206","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W1994427954","https://openalex.org/W2009276301","https://openalex.org/W2017014096","https://openalex.org/W2029213856","https://openalex.org/W2039596145","https://openalex.org/W2045983409","https://openalex.org/W2056370875","https://openalex.org/W2058532290","https://openalex.org/W2069231830","https://openalex.org/W2079705627","https://openalex.org/W2089480358","https://openalex.org/W2095906131","https://openalex.org/W2103972604","https://openalex.org/W2121338139","https://openalex.org/W2127450210","https://openalex.org/W2145962650","https://openalex.org/W2153663612","https://openalex.org/W2158400785","https://openalex.org/W2161073299","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2166923144","https://openalex.org/W2289756263","https://openalex.org/W2298855392","https://openalex.org/W2336406062","https://openalex.org/W2343117455","https://openalex.org/W2406093411","https://openalex.org/W2464748116","https://openalex.org/W2505029951","https://openalex.org/W2585357012","https://openalex.org/W2724686744","https://openalex.org/W2802440232","https://openalex.org/W2805465265","https://openalex.org/W2903268675","https://openalex.org/W2905232803","https://openalex.org/W2947104191","https://openalex.org/W2959148625","https://openalex.org/W2962771824","https://openalex.org/W2962791795","https://openalex.org/W2964179170","https://openalex.org/W2972301798","https://openalex.org/W2980054274","https://openalex.org/W6929385289"],"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/W2070598848","https://openalex.org/W2404757046","https://openalex.org/W2974904990","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"are":[3,88],"inevitably":[4],"contaminated":[5],"by":[6,223],"the":[7,22,33,39,41,49,60,70,80,102,108,116,120,131,136,142,146,156,158,160,165,173,180,199,207,212],"mixed":[8,213],"noise":[9,214],"(such":[10],"as":[11],"Gaussian":[12],"noise,":[13,15],"impulse":[14],"deadlines,":[16],"and":[17,83,106,119,130,145,178,216,230],"stripes),":[18],"which":[19],"could":[20],"influence":[21],"subsequent":[23],"processing":[24],"accuracy.":[25],"Generally,":[26],"HSI":[27,91,175,237],"restoration":[28,238],"can":[29,133],"be":[30],"transformed":[31],"into":[32],"low-rank":[34,176],"matrix":[35,50,117],"recovery":[36],"(LRMR).":[37],"In":[38],"LRMR,":[40],"nuclear":[42,143],"norm":[43,144],"is":[44,55,195,221],"widely":[45],"used":[46],"to":[47,197],"substitute":[48],"rank,":[51],"but":[52],"its":[53,162],"effectiveness":[54],"still":[56],"worth":[57],"improving.":[58],"Besides,":[59],"<inline-formula":[61,121,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,122,148],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[63,123,149],"<tex-math":[64,124,150],"notation=\"LaTeX\">$l_{0}$":[65],"</tex-math></inline-formula>":[66,126,152],"-norm":[67],"cannot":[68],"capture":[69],"sparse":[71,184],"noise\u2019s":[72],"structured":[73,84,109,181],"sparsity":[74,85,110,182],"property.":[75],"To":[76],"handle":[77],"these":[78],"issues,":[79],"adaptive":[81],"rank":[82,103,118],"corrections":[86],"(ARSSC)":[87],"presented":[89],"for":[90],"restoration.":[92],"The":[93,128,204],"ARSSC":[94,167,208],"introduces":[95],"two":[96],"convex":[97,201],"regularizers,":[98],"that":[99],"is:":[100],"1)":[101],"correction":[104,111],"(RC)":[105],"2)":[107],"(SSC),":[112],"to,":[113],"respectively,":[114,154],"approximate":[115],"notation=\"LaTeX\">$l_{2,0}$":[125],"-norm.":[127],"RC":[129],"SSC":[132],"adaptively":[134],"offset":[135],"penalization":[137],"of":[138,172,183,191,206,211],"large":[139],"entries":[140],"from":[141],"notation=\"LaTeX\">$l_{2,1}$":[151],"-norm,":[153],"where":[155],"larger":[157],"entry,":[159],"greater":[161],"offset.":[163],"Therefore,":[164],"proposed":[166],"achieves":[168],"a":[169],"tighter":[170],"approximation":[171],"noise-free":[174],"structure":[177,218],"promotes":[179],"noise.":[185],"An":[186],"efficient":[187],"alternative":[188],"direction":[189],"method":[190],"multipliers":[192],"(ADMM)":[193],"algorithm":[194],"applied":[196],"solve":[198],"resulting":[200],"optimization":[202],"problem.":[203],"superiority":[205],"in":[209],"terms":[210],"removal":[215],"spatial-spectral":[217],"information":[219],"preserving,":[220],"demonstrated":[222],"several":[224],"experimental":[225],"results":[226],"both":[227],"on":[228],"simulated":[229],"real":[231],"datasets,":[232],"compared":[233],"with":[234],"other":[235],"state-of-the-art":[236],"approaches.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
