{"id":"https://openalex.org/W3134334503","doi":"https://doi.org/10.1109/tgrs.2021.3061148","title":"Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping","display_name":"Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping","publication_year":2021,"publication_date":"2021-03-10","ids":{"openalex":"https://openalex.org/W3134334503","doi":"https://doi.org/10.1109/tgrs.2021.3061148","mag":"3134334503"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2021.3061148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3061148","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/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"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":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7894-5755","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/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056150601","display_name":"Jingyi Cai","orcid":"https://orcid.org/0000-0003-0770-5524"},"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":"Jingyi Cai","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0770-5524","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/I4210118728","https://openalex.org/I37461747"]}]},{"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/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wei He","raw_affiliation_strings":["Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), Wako, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3410-0643","affiliations":[{"raw_affiliation_string":"Geoinformatics Unit, RIKEN Center for Advanced Intelligence Project (AIP), Wako, Japan","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114374395","display_name":"Huanfeng Shen","orcid":"https://orcid.org/0000-0002-4140-1869"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanfeng Shen","raw_affiliation_strings":["School of Resource and Environmental Sciences, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-4140-1869","affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"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":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6890-3650","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/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3661,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.95569426,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"19"},"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":0.9979000091552734,"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/impulse-noise","display_name":"Impulse noise","score":0.7380284667015076},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6782832145690918},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.673320472240448},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.663599967956543},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.6467663645744324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6347755193710327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5762748718261719},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.5724728107452393},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.5639516711235046},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5543922185897827},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5499231815338135},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.5369178652763367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46242183446884155},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43725812435150146},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4258022606372833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42116978764533997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34786805510520935},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.325563907623291},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1982775330543518},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.16367429494857788},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.10524794459342957}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7380284667015076},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6782832145690918},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.673320472240448},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.663599967956543},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.6467663645744324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6347755193710327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5762748718261719},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.5724728107452393},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.5639516711235046},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5543922185897827},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5499231815338135},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.5369178652763367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46242183446884155},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43725812435150146},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4258022606372833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42116978764533997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34786805510520935},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.325563907623291},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1982775330543518},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.16367429494857788},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.10524794459342957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2021.3061148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2021.3061148","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":0.6700000166893005,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2918223366","display_name":null,"funder_award_id":"2020CFA053","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G5377590583","display_name":null,"funder_award_id":"42071322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8145771212","display_name":null,"funder_award_id":"61871298","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W199797433","https://openalex.org/W1944540851","https://openalex.org/W1967231175","https://openalex.org/W1969352102","https://openalex.org/W1974438823","https://openalex.org/W1977066218","https://openalex.org/W1985242206","https://openalex.org/W1985832050","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W2016378714","https://openalex.org/W2030270830","https://openalex.org/W2039596145","https://openalex.org/W2044184146","https://openalex.org/W2053514113","https://openalex.org/W2056370875","https://openalex.org/W2082590963","https://openalex.org/W2087263574","https://openalex.org/W2097073572","https://openalex.org/W2103972604","https://openalex.org/W2125298866","https://openalex.org/W2130942532","https://openalex.org/W2131697388","https://openalex.org/W2131757244","https://openalex.org/W2133665775","https://openalex.org/W2140702875","https://openalex.org/W2153663612","https://openalex.org/W2155124307","https://openalex.org/W2171520281","https://openalex.org/W2289756263","https://openalex.org/W2326587421","https://openalex.org/W2343117455","https://openalex.org/W2406093411","https://openalex.org/W2506106863","https://openalex.org/W2515271729","https://openalex.org/W2585357012","https://openalex.org/W2724686744","https://openalex.org/W2735711969","https://openalex.org/W2753754894","https://openalex.org/W2761333220","https://openalex.org/W2767511704","https://openalex.org/W2773415061","https://openalex.org/W2790034605","https://openalex.org/W2790528326","https://openalex.org/W2793218933","https://openalex.org/W2806155925","https://openalex.org/W2885850997","https://openalex.org/W2889025125","https://openalex.org/W2896340099","https://openalex.org/W2899885135","https://openalex.org/W2907943085","https://openalex.org/W2914736033","https://openalex.org/W2919115771","https://openalex.org/W2972301798","https://openalex.org/W2979001238","https://openalex.org/W2986829670","https://openalex.org/W2991209609","https://openalex.org/W3021083191","https://openalex.org/W3083760513","https://openalex.org/W3088527290","https://openalex.org/W3098435832","https://openalex.org/W3101308162","https://openalex.org/W3112929693","https://openalex.org/W3135230039","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2120405331","https://openalex.org/W2343314293","https://openalex.org/W2144975018","https://openalex.org/W2980586888","https://openalex.org/W2111069477","https://openalex.org/W2736132426","https://openalex.org/W2290428876","https://openalex.org/W2543147290","https://openalex.org/W2756021797","https://openalex.org/W2546976943"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"have":[3],"a":[4,29,112],"wealth":[5],"of":[6,31,34,130,140,147,163,202],"applications":[7],"in":[8,19,57],"many":[9],"areas,":[10],"due":[11],"to":[12,160,198],"their":[13],"fine":[14],"spectral":[15],"discrimination":[16],"ability.":[17],"However,":[18,80],"the":[20,67,81,94,106,127,131,137,141,148,150,164,181,200,203],"practical":[21],"imaging":[22],"process,":[23],"HSIs":[24],"are":[25,154],"often":[26],"degraded":[27],"by":[28,65,180],"mixture":[30],"various":[32],"types":[33],"noise,":[35,39,41,69,168],"for":[36,85,119],"example,":[37],"Gaussian":[38],"impulse":[40,68],"dead":[42,44,70,72],"pixels,":[43,71],"lines,":[45,73],"and":[46,60,74,110,122,136,169,190],"stripe":[47,75,91,95,142,167],"noise.":[48,172],"Low-rank":[49],"matrix":[50,116],"decomposition":[51,117],"theory":[52],"has":[53,61],"been":[54],"widely":[55],"used":[56],"HSI":[58,86,107,120,135,192],"denoising,":[59],"achieved":[62],"competitive":[63],"results":[64],"modeling":[66],"noise":[76,92,96,143],"as":[77],"sparse":[78],"components.":[79],"existing":[82],"low-rank-based":[83],"methods":[84],"denoising":[87,121],"cannot":[88],"completely":[89],"remove":[90],"when":[93],"is":[97,177],"no":[98],"longer":[99],"sparse.":[100],"In":[101],"this":[102],"article,":[103],"we":[104],"extend":[105],"observation":[108],"model":[109,176],"propose":[111],"double":[113],"low-rank":[114,128,138,152],"(DLR)":[115],"method":[118],"destriping.":[123],"By":[124],"simultaneously":[125],"exploring":[126],"characteristic":[129],"lexicographically":[132],"ordered":[133],"noise-free":[134,165],"structure":[139],"on":[144],"each":[145],"band":[146],"HSI,":[149,166],"two":[151],"constraints":[153],"formulated":[155],"into":[156],"one":[157],"unified":[158],"framework,":[159],"achieve":[161],"separation":[162],"other":[170],"mixed":[171],"The":[173],"proposed":[174,204],"DLR":[175,205],"then":[178],"solved":[179],"augmented":[182],"Lagrange":[183],"multiplier":[184],"(ALM)":[185],"algorithm":[186],"efficiently.":[187],"Both":[188],"simulation":[189],"real":[191],"data":[193],"experiments":[194],"were":[195],"carried":[196],"out":[197],"verify":[199],"superiority":[201],"method.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
