{"id":"https://openalex.org/W2990162903","doi":"https://doi.org/10.1109/tcyb.2019.2951572","title":"Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion","display_name":"Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion","publication_year":2019,"publication_date":"2019-11-28","ids":{"openalex":"https://openalex.org/W2990162903","doi":"https://doi.org/10.1109/tcyb.2019.2951572","mag":"2990162903","pmid":"https://pubmed.ncbi.nlm.nih.gov/31794410"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2019.2951572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2951572","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/A5026156663","display_name":"Renwei Dian","orcid":"https://orcid.org/0000-0001-9197-6292"},"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":true,"raw_author_name":"Renwei Dian","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/0000-0001-9197-6292","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":"middle","author":{"id":"https://openalex.org/A5065061505","display_name":"Leyuan Fang","orcid":"https://orcid.org/0000-0003-2351-4461"},"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":"Leyuan Fang","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/0000-0003-2351-4461","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/A5102716602","display_name":"Ting Lu","orcid":"https://orcid.org/0000-0001-8415-0185"},"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 Lu","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/0000-0001-6744-2186","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/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose M. Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunicac\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-0166-5149","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunicac\u00f5es, Instituto Superior T\u00e9cnico, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026156663"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":14.133,"has_fulltext":false,"cited_by_count":181,"citation_normalized_percentile":{"value":0.99045292,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"50","issue":"10","first_page":"4469","last_page":"4480"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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":0.9994999766349792,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"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":0.7546128034591675},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7037797570228577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6468766331672668},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6114757657051086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6049317121505737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.603554904460907},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5995304584503174},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.516967236995697},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.48702841997146606},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.48671796917915344},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4026980996131897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33945631980895996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3113522529602051},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0956982672214508}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7546128034591675},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7037797570228577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6468766331672668},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6114757657051086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6049317121505737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.603554904460907},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5995304584503174},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.516967236995697},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.48702841997146606},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.48671796917915344},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4026980996131897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33945631980895996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3113522529602051},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0956982672214508},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2019.2951572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2019.2951572","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:31794410","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31794410","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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5400000214576721}],"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/G6229004399","display_name":null,"funder_award_id":"61801179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W792141054","https://openalex.org/W1593447321","https://openalex.org/W1799946925","https://openalex.org/W1916874600","https://openalex.org/W1963826206","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2024165284","https://openalex.org/W2030270830","https://openalex.org/W2040349808","https://openalex.org/W2046904217","https://openalex.org/W2053081714","https://openalex.org/W2066792693","https://openalex.org/W2073459066","https://openalex.org/W2079598971","https://openalex.org/W2087263574","https://openalex.org/W2092116045","https://openalex.org/W2095906131","https://openalex.org/W2097259623","https://openalex.org/W2100109944","https://openalex.org/W2103192805","https://openalex.org/W2125298866","https://openalex.org/W2130835014","https://openalex.org/W2157321686","https://openalex.org/W2159269332","https://openalex.org/W2162842940","https://openalex.org/W2164278908","https://openalex.org/W2221899823","https://openalex.org/W2327302159","https://openalex.org/W2417947228","https://openalex.org/W2466393651","https://openalex.org/W2473060082","https://openalex.org/W2504837581","https://openalex.org/W2518815253","https://openalex.org/W2536599074","https://openalex.org/W2748530166","https://openalex.org/W2792111852","https://openalex.org/W2804744787","https://openalex.org/W2884159946","https://openalex.org/W2890206502","https://openalex.org/W2910457605","https://openalex.org/W2911912801","https://openalex.org/W2912145285","https://openalex.org/W2919868964","https://openalex.org/W2945202593","https://openalex.org/W3102912004","https://openalex.org/W4292363360","https://openalex.org/W6602248423","https://openalex.org/W6668990524"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W1973739845","https://openalex.org/W2586688824","https://openalex.org/W119752240","https://openalex.org/W126272167"],"abstract_inverted_index":{"Combining":[0],"a":[1,7,14,61,102,116],"high-spatial-resolution":[2],"multispectral":[3],"image":[4,10],"(HR-MSI)":[5],"with":[6,188,204],"low-spatial-resolution":[8],"hyperspectral":[9,198],"(LR-HSI)":[11],"has":[12],"become":[13],"common":[15],"way":[16],"to":[17,48,109,135,140,190],"enhance":[18],"the":[19,23,37,41,53,68,71,82,97,111,137,144,148,155,158,191,197,212,215,218,222],"spatial":[20],"resolution":[21],"of":[22,52,56,74,96,143,147,168,180,196,214,217],"HSI.":[24,58,149],"The":[25,78,163,208],"existing":[26,223],"state-of-the-art":[27,224],"LR-HSI":[28],"and":[29,76,101,120,131,161,200],"HR-MSI":[30,160],"fusion":[31,73,112],"methods":[32],"are":[33,92,128,133,182],"mostly":[34],"based":[35],"on":[36],"matrix":[38,42],"factorization,":[39],"where":[40],"data":[43],"representation":[44],"may":[45],"be":[46],"hard":[47],"fully":[49],"make":[50,141],"use":[51,142],"inherent":[54],"structures":[55],"3-D":[57],"We":[59],"propose":[60],"nonlocal":[62,145],"sparse":[63,103,117,165,175],"tensor":[64,119,167,174],"factorization":[65],"approach,":[66],"called":[67],"NLSTF_SMBF,":[69],"for":[70,123],"semiblind":[72,228],"HSI":[75,83,99],"MSI.":[77],"proposed":[79],"method":[80,220],"decomposes":[81],"into":[84],"smaller":[85],"full-band":[86],"patches":[87],"(FBPs),":[88],"which,":[89],"in":[90,227],"turn,":[91],"factored":[93],"as":[94,114],"dictionaries":[95,122,139,156],"three":[98,121],"modes":[100],"core":[104,118,166],"tensor.":[105],"This":[106],"decomposition":[107],"allows":[108],"solve":[110],"problem":[113],"estimating":[115],"each":[124,151,169],"FBP.":[125],"Similar":[126],"FBPs":[127],"clustered":[129],"together,":[130],"they":[132],"assumed":[134],"share":[136],"same":[138],"self-similarities":[146],"For":[150],"group,":[152],"we":[153],"learn":[154],"from":[157],"observed":[159],"LR-HSI.":[162],"corresponding":[164],"FBP":[170],"is":[171,186],"computed":[172],"via":[173],"coding.":[176],"Two":[177],"distinctive":[178],"features":[179],"NLSTF_SMBF":[181,219],"that:":[183],"1)":[184],"it":[185,202],"blind":[187],"respect":[189],"point":[192],"spread":[193],"function":[194],"(PSF)":[195],"sensor":[199],"2)":[201],"copes":[203],"spatially":[205],"variant":[206],"PSFs.":[207],"experimental":[209],"results":[210],"provide":[211],"evidence":[213],"advantages":[216],"over":[221],"methods,":[225],"namely,":[226],"scenarios.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":45},{"year":2022,"cited_by_count":43},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":12}],"updated_date":"2026-05-14T08:36:36.166977","created_date":"2025-10-10T00:00:00"}
