{"id":"https://openalex.org/W2107799335","doi":"https://doi.org/10.1109/tgrs.2012.2226730","title":"Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images","display_name":"Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images","publication_year":2013,"publication_date":"2013-01-23","ids":{"openalex":"https://openalex.org/W2107799335","doi":"https://doi.org/10.1109/tgrs.2012.2226730","mag":"2107799335"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2012.2226730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2226730","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":true,"oa_status":"green","oa_url":"http://ir.opt.ac.cn/handle/181661/23181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018824735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0002-7037-5188"},"institutions":[{"id":"https://openalex.org/I4391768074","display_name":"State Key Laboratory of Transient Optics and Photonics","ror":"https://ror.org/025hkeg57","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662","https://openalex.org/I4391768074"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics XianInstitute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xian, China","State Key Lab. of Transient Opt. & Photonics, Xi'an Inst. of Opt. & Precision Mech., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics XianInstitute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xian, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Transient Opt. & Photonics, Xi'an Inst. of Opt. & Precision Mech., Xi'an, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I4391768074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449199","display_name":"Yulong Wang","orcid":"https://orcid.org/0000-0002-1033-9281"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulong Wang","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, Hubei University, Wuhan, China","Fac. of Math. & Comput. Sci., Hubei Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Fac. of Math. & Comput. Sci., Hubei Univ., Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"id":"https://openalex.org/I4391768074","display_name":"State Key Laboratory of Transient Optics and Photonics","ror":"https://ror.org/025hkeg57","country_code":null,"type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662","https://openalex.org/I4391768074"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics XianInstitute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xian, China","State Key Lab. of Transient Opt. & Photonics, Xi'an Inst. of Opt. & Precision Mech., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Center for Optical Imagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics XianInstitute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xian, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Transient Opt. & Photonics, Xi'an Inst. of Opt. & Precision Mech., Xi'an, China","institution_ids":["https://openalex.org/I4210144662","https://openalex.org/I4391768074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018824735"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662","https://openalex.org/I4391768074"],"apc_list":null,"apc_paid":null,"fwci":27.9813,"has_fulltext":false,"cited_by_count":333,"citation_normalized_percentile":{"value":0.99641577,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"51","issue":"7","first_page":"4009","last_page":"4018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9990000128746033,"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":0.9563894271850586},{"id":"https://openalex.org/keywords/data-striping","display_name":"Data striping","score":0.8081949949264526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7594497203826904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5525628328323364},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5492194294929504},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.4755387306213379},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4571608603000641},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4335598349571228},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41107162833213806},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3969753086566925},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24126240611076355},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08935427665710449}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9563894271850586},{"id":"https://openalex.org/C83489325","wikidata":"https://www.wikidata.org/wiki/Q1332256","display_name":"Data striping","level":2,"score":0.8081949949264526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7594497203826904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5525628328323364},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5492194294929504},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.4755387306213379},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4571608603000641},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4335598349571228},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41107162833213806},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3969753086566925},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24126240611076355},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08935427665710449},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2012.2226730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2012.2226730","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"},{"id":"pmh:oai:ir.opt.ac.cn:181661/23181","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/23181","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:ir.opt.ac.cn:181661/23181","is_oa":true,"landing_page_url":"http://ir.opt.ac.cn/handle/181661/23181","pdf_url":null,"source":{"id":"https://openalex.org/S4377196962","display_name":"Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144662","host_organization_name":"Xi'an Institute of Optics and Precision Mechanics","host_organization_lineage":["https://openalex.org/I4210144662"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W79405465","https://openalex.org/W1488409280","https://openalex.org/W1968926700","https://openalex.org/W1996213136","https://openalex.org/W1996800636","https://openalex.org/W1997201895","https://openalex.org/W1998635907","https://openalex.org/W2003217181","https://openalex.org/W2029362759","https://openalex.org/W2034671455","https://openalex.org/W2039596145","https://openalex.org/W2049870688","https://openalex.org/W2055678260","https://openalex.org/W2058453009","https://openalex.org/W2061202829","https://openalex.org/W2067688331","https://openalex.org/W2069231830","https://openalex.org/W2086481235","https://openalex.org/W2103972604","https://openalex.org/W2105488510","https://openalex.org/W2109115094","https://openalex.org/W2110940063","https://openalex.org/W2118634086","https://openalex.org/W2127141393","https://openalex.org/W2136533841","https://openalex.org/W2136604679","https://openalex.org/W2140245639","https://openalex.org/W2145152441","https://openalex.org/W2145962650","https://openalex.org/W2146212169","https://openalex.org/W2148787689","https://openalex.org/W2152470023","https://openalex.org/W2153753491","https://openalex.org/W2156366154","https://openalex.org/W2156686129","https://openalex.org/W2160547390","https://openalex.org/W2295820431","https://openalex.org/W2513407447","https://openalex.org/W2999905431","https://openalex.org/W4233760599","https://openalex.org/W6603183647","https://openalex.org/W6629266702","https://openalex.org/W6725780983"],"related_works":["https://openalex.org/W2911259277","https://openalex.org/W2800956885","https://openalex.org/W4386427838","https://openalex.org/W2533019003","https://openalex.org/W2626158795","https://openalex.org/W2057283258","https://openalex.org/W1788560349","https://openalex.org/W2324845311","https://openalex.org/W2391021239","https://openalex.org/W2166564037"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"destriping":[2,91,103,109],"is":[3,14,93,130,151],"a":[4,15,85],"challenging":[5],"and":[6,65,135,160,173,176],"promising":[7],"theme":[8],"in":[9,18,62,82,123,153],"remote":[10],"sensing.":[11],"Striping":[12],"noise":[13,172],"ubiquitous":[16],"phenomenon":[17],"hyperspectral":[19,73,146],"imagery,":[20],"which":[21],"may":[22],"severely":[23],"degrade":[24],"the":[25,38,41,54,59,67,72,97,115,120,126,139,144,148,154,165],"visual":[26],"quality.":[27],"A":[28],"variety":[29],"of":[30,40,46,53,71,107,128,143],"methods":[31],"have":[32],"been":[33],"proposed":[34,94,166],"to":[35,49,78,137],"effectively":[36],"alleviate":[37],"effects":[39],"striping":[42,171],"noise.":[43],"However,":[44],"most":[45],"them":[47],"fail":[48],"take":[50],"full":[51],"advantage":[52],"high":[55,116],"spectral":[56,117],"correlation":[57,118],"between":[58,119],"observation":[60,121],"subimages":[61,122],"distinct":[63,124],"bands":[64],"consider":[66],"local":[68,141],"manifold":[69],"structure":[70,142],"data":[74],"space.":[75],"In":[76],"order":[77],"remedy":[79],"this":[80,83],"drawback,":[81],"paper,":[84],"novel":[86],"graph-regularized":[87],"low-rank":[88],"representation":[89],"(LRR)":[90],"algorithm":[92],"by":[95],"incorporating":[96],"LRR":[98,129],"technique.":[99],"To":[100,113],"obtain":[101],"desired":[102],"performance,":[104],"two":[105],"sides":[106],"performing":[108],"are":[110],"included:":[111],"1)":[112],"exploit":[114],"bands,":[125],"technique":[127],"first":[131],"utilized":[132],"for":[133],"destriping,":[134],"2)":[136],"preserve":[138],"intrinsic":[140],"original":[145],"data,":[147],"graph":[149],"regularizer":[150],"incorporated":[152],"objective":[155],"function.":[156],"The":[157],"experimental":[158],"results":[159],"quantitative":[161],"analysis":[162],"demonstrate":[163],"that":[164],"method":[167],"can":[168],"both":[169],"remove":[170],"achieve":[174],"cleaner":[175],"higher":[177],"contrast":[178],"reconstructed":[179],"results.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":21},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":33},{"year":2019,"cited_by_count":36},{"year":2018,"cited_by_count":54},{"year":2017,"cited_by_count":39},{"year":2016,"cited_by_count":27},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
