{"id":"https://openalex.org/W1944540851","doi":"https://doi.org/10.1109/tgrs.2015.2452812","title":"Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration","display_name":"Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration","publication_year":2015,"publication_date":"2015-07-27","ids":{"openalex":"https://openalex.org/W1944540851","doi":"https://doi.org/10.1109/tgrs.2015.2452812","mag":"1944540851"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2015.2452812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2452812","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/A5024704138","display_name":"Wei He","orcid":"https://orcid.org/0000-0003-3410-0643"},"institutions":[{"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"]},{"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":true,"raw_author_name":"Wei He","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"institutions":[{"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"]},{"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":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"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"]},{"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":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, , China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","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 and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China","Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Resource and Environmental Sciences and the Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024704138"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"],"apc_list":null,"apc_paid":null,"fwci":39.1987,"has_fulltext":false,"cited_by_count":646,"citation_normalized_percentile":{"value":0.99953711,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"54","issue":"1","first_page":"178","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.7632436156272888},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.6497670412063599},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6020376086235046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5059799551963806},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4903867244720459},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48362982273101807},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4780329167842865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4719844460487366},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.46863722801208496},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4346250891685486},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4273138642311096},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.41740089654922485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36378705501556396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3567645847797394},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24383971095085144},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19560369849205017},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1252647042274475},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1011677086353302},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10109370946884155}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7632436156272888},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.6497670412063599},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6020376086235046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5059799551963806},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4903867244720459},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48362982273101807},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4780329167842865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4719844460487366},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.46863722801208496},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4346250891685486},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4273138642311096},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.41740089654922485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36378705501556396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3567645847797394},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24383971095085144},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19560369849205017},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1252647042274475},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1011677086353302},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10109370946884155},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2015.2452812","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2015.2452812","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/G1787015647","display_name":null,"funder_award_id":"41431175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5786956949","display_name":null,"funder_award_id":"61201342","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6933362682","display_name":null,"funder_award_id":"2011CB707105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W199797433","https://openalex.org/W1669104078","https://openalex.org/W1736339626","https://openalex.org/W1964570608","https://openalex.org/W1969352102","https://openalex.org/W1970099214","https://openalex.org/W1991003630","https://openalex.org/W1994040806","https://openalex.org/W1997201895","https://openalex.org/W2003753589","https://openalex.org/W2011181254","https://openalex.org/W2026718629","https://openalex.org/W2032944446","https://openalex.org/W2039596145","https://openalex.org/W2053419820","https://openalex.org/W2053514113","https://openalex.org/W2054010646","https://openalex.org/W2056370875","https://openalex.org/W2066803775","https://openalex.org/W2070424424","https://openalex.org/W2078146345","https://openalex.org/W2082600204","https://openalex.org/W2083987637","https://openalex.org/W2087148018","https://openalex.org/W2103559027","https://openalex.org/W2103972604","https://openalex.org/W2125298866","https://openalex.org/W2128148283","https://openalex.org/W2129891925","https://openalex.org/W2133665775","https://openalex.org/W2136625467","https://openalex.org/W2137245235","https://openalex.org/W2140702875","https://openalex.org/W2141159272","https://openalex.org/W2142224912","https://openalex.org/W2144348684","https://openalex.org/W2145962650","https://openalex.org/W2146130798","https://openalex.org/W2147353113","https://openalex.org/W2148717137","https://openalex.org/W2153663612","https://openalex.org/W2160484748","https://openalex.org/W2161073299","https://openalex.org/W2162934636","https://openalex.org/W2163886442","https://openalex.org/W2322364181","https://openalex.org/W2334911726","https://openalex.org/W2394774286","https://openalex.org/W3003365835","https://openalex.org/W3104624268","https://openalex.org/W6608068731","https://openalex.org/W6657257683","https://openalex.org/W6680451568","https://openalex.org/W6682042988"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W2027399350","https://openalex.org/W2060875994","https://openalex.org/W2044184146","https://openalex.org/W2969683494","https://openalex.org/W208067387","https://openalex.org/W2201180357"],"abstract_inverted_index":{"In":[0,22],"this":[1],"paper,":[2],"we":[3,140],"present":[4],"a":[5,32,67],"spatial":[6,48,90],"spectral":[7,37,78],"hyperspectral":[8],"image":[9,148],"(HSI)":[10],"mixed-noise":[11],"removal":[12],"method":[13,52,179],"named":[14],"total":[15],"variation":[16],"(TV)-regularized":[17],"low-rank":[18,33,79],"matrix":[19],"factorization":[20],"(LRTV).":[21],"general,":[23],"HSIs":[24],"are":[25],"not":[26],"only":[27],"assumed":[28,41],"to":[29,42,75,87,131,149,171],"lie":[30],"in":[31,46,66,164],"subspace":[34],"from":[35],"the":[36,47,54,77,82,89,95,98,101,115,124,134,138,143,146,154,173,176],"perspective":[38],"but":[39],"also":[40,141],"be":[43,150],"piecewise":[44,91],"smooth":[45,92],"dimension.":[49],"The":[50,70],"proposed":[51,177],"integrates":[53],"nuclear":[55,71,125],"norm,":[56],"TV":[57,83,128],"regularization,":[58],"and":[59,81,109,127,130,167],"L":[60,116],"<sub":[61,117],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[62,118],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[63,119],"-norm":[64,120],"together":[65],"unified":[68],"framework.":[69],"norm":[72,126],"is":[73,85,112],"used":[74],"exploit":[76],"property,":[80],"regularization":[84,129],"adopted":[86],"explore":[88],"structure":[93],"of":[94,137,145,156,160,175],"HSI.":[96],"At":[97],"same":[99],"time,":[100],"sparse":[102],"noise,":[103,108],"which":[104],"includes":[105],"stripes,":[106],"impulse":[107],"dead":[110],"pixels,":[111],"detected":[113],"by":[114],"regularization.":[121],"To":[122],"tradeoff":[123],"further":[132],"remove":[133],"Gaussian":[135],"noise":[136],"HSI,":[139],"restrict":[142],"rank":[144],"clean":[147],"no":[151],"larger":[152],"than":[153],"number":[155,159],"endmembers.":[157],"A":[158],"experiments":[161],"were":[162],"conducted":[163],"both":[165],"simulated":[166],"real":[168],"data":[169],"conditions":[170],"illustrate":[172],"performance":[174],"LRTV":[178],"for":[180],"HSI":[181],"restoration.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":70},{"year":2024,"cited_by_count":77},{"year":2023,"cited_by_count":84},{"year":2022,"cited_by_count":66},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":83},{"year":2019,"cited_by_count":69},{"year":2018,"cited_by_count":59},{"year":2017,"cited_by_count":41},{"year":2016,"cited_by_count":17}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}
