{"id":"https://openalex.org/W4386233748","doi":"https://doi.org/10.1109/tgrs.2023.3308936","title":"Hyperspectral and Multispectral Image Fusion via Superpixel-Based Weighted Nuclear Norm Minimization","display_name":"Hyperspectral and Multispectral Image Fusion via Superpixel-Based Weighted Nuclear Norm Minimization","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386233748","doi":"https://doi.org/10.1109/tgrs.2023.3308936"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3308936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3308936","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/A5100752159","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-3809-7023"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]},{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]},{"id":"https://openalex.org/I4210120015","display_name":"Nanchang Institute of Science & Technology","ror":"https://ror.org/02q5y6156","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120015"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China","College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","College of Science, Nanchang Institute of Technology, Nanchang, Jiangxi, China"],"raw_orcid":"https://orcid.org/0000-0003-3809-7023","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Science, Nanchang Institute of Technology, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141103825","https://openalex.org/I4210120015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101496830","display_name":"Jingjing Lu","orcid":"https://orcid.org/0009-0003-3669-5983"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Jiangxi University of Water Resources and Electric Power","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Lu","raw_affiliation_strings":["Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, Jiangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]},{"raw_affiliation_string":"Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080467915","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0001-6524-504X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China","Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, China"],"raw_orcid":"https://orcid.org/0000-0001-6524-504X","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"last","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","College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, 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":"College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6174,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84302775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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":1.0,"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":0.9997000098228455,"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":0.9994000196456909,"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":0.8597904443740845},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7500395774841309},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.6078571081161499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5987427830696106},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5973149538040161},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5608124732971191},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.5567672252655029},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5489384531974792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4730983078479767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43110746145248413},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.43049734830856323},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.42017969489097595},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.41362541913986206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38441914319992065},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3685346245765686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3490758240222931}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8597904443740845},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7500395774841309},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.6078571081161499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5987427830696106},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5973149538040161},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5608124732971191},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.5567672252655029},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5489384531974792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4730983078479767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43110746145248413},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.43049734830856323},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.42017969489097595},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.41362541913986206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38441914319992065},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3685346245765686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3490758240222931},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3308936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3308936","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/G1085509035","display_name":null,"funder_award_id":"62221002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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/G3168615688","display_name":null,"funder_award_id":"12201286","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8286048443","display_name":null,"funder_award_id":"20232BAB201017","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G8598944930","display_name":null,"funder_award_id":"JCYJ20220818100602005","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W54434497","https://openalex.org/W817971873","https://openalex.org/W1944540851","https://openalex.org/W1971335521","https://openalex.org/W1990231296","https://openalex.org/W2013912476","https://openalex.org/W2020461703","https://openalex.org/W2021046129","https://openalex.org/W2048695508","https://openalex.org/W2053081714","https://openalex.org/W2056636001","https://openalex.org/W2076715477","https://openalex.org/W2092116045","https://openalex.org/W2097259623","https://openalex.org/W2100109944","https://openalex.org/W2103972604","https://openalex.org/W2114770744","https://openalex.org/W2125298866","https://openalex.org/W2135431554","https://openalex.org/W2159269332","https://openalex.org/W2194818953","https://openalex.org/W2280622051","https://openalex.org/W2323104748","https://openalex.org/W2327302159","https://openalex.org/W2480706550","https://openalex.org/W2505029951","https://openalex.org/W2590227484","https://openalex.org/W2743618639","https://openalex.org/W2750085043","https://openalex.org/W2763820948","https://openalex.org/W2775829438","https://openalex.org/W2889273070","https://openalex.org/W2900780912","https://openalex.org/W2919746781","https://openalex.org/W2919868964","https://openalex.org/W2951085447","https://openalex.org/W2952956606","https://openalex.org/W2963315679","https://openalex.org/W2964036226","https://openalex.org/W2978693635","https://openalex.org/W3013082057","https://openalex.org/W3013300069","https://openalex.org/W3031385348","https://openalex.org/W3036751413","https://openalex.org/W3043719198","https://openalex.org/W3098745759","https://openalex.org/W3099608030","https://openalex.org/W3102912004","https://openalex.org/W3104960002","https://openalex.org/W3132115664","https://openalex.org/W3207526759","https://openalex.org/W4206819352","https://openalex.org/W4220994603","https://openalex.org/W4281386394","https://openalex.org/W4285041970","https://openalex.org/W4285203066","https://openalex.org/W4318953520","https://openalex.org/W4366148227","https://openalex.org/W6602248423","https://openalex.org/W6623043969","https://openalex.org/W6675164516"],"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/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2021642829","https://openalex.org/W2022226704"],"abstract_inverted_index":{"Integrating":[0],"a":[1,6,19,48,89,98],"low-resolution":[2],"hyperspectral":[3,21,76],"image":[4,9,72,77],"and":[5,101],"high-resolution":[7,20],"multispectral":[8],"is":[10,127],"widely":[11],"acknowledged":[12],"as":[13,30],"an":[14,31,145],"effective":[15],"approach":[16,158],"for":[17,34],"generating":[18],"image.":[22],"Recent":[23],"studies":[24],"have":[25,61,143],"highlighted":[26],"the":[27,38,43,63,66,71,80,94,108,121,131,139,160],"nuclear":[28,45,68,96],"norm":[29,46,69,113],"efficient":[32],"method":[33,148],"this":[35,58],"problem":[36,74],"through":[37],"utilization":[39],"of":[40,65,82,114,149],"low-rankness.":[41],"However,":[42],"standard":[44],"has":[47],"limitation":[49],"due":[50],"to":[51,116,129],"treating":[52],"singular":[53],"values":[54],"equally.":[55],"To":[56,136],"address":[57],"issue,":[59],"we":[60,87,142],"incorporated":[62],"concept":[64],"weighted":[67,95],"from":[70],"denoising":[73],"into":[75],"fusion,":[78],"ensuring":[79],"retention":[81],"crucial":[83],"data":[84],"components.":[85],"Furthermore,":[86],"propose":[88],"unified":[90],"framework":[91,106],"which":[92],"integrates":[93],"norm,":[97],"sparse":[99],"prior,":[100],"total":[102,125],"variation":[103,126],"regularization.":[104],"This":[105],"utilizes":[107],"\u2113":[109],"<sub":[110],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[111],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sub>":[112],"coefficients":[115],"promote":[117],"spatial-spectral":[118],"sparsity":[119],"in":[120],"fused":[122],"images,":[123],"while":[124],"employed":[128],"preserve":[130],"spatial":[132],"piecewise":[133],"smooth":[134],"structure.":[135],"efficiently":[137],"solve":[138],"proposed":[140,157],"model,":[141],"designed":[144],"alternating":[146],"direction":[147],"multipliers.":[150],"The":[151],"experimental":[152],"results":[153],"show":[154],"that":[155],"our":[156],"surpasses":[159],"state-of-the-art":[161],"methods.":[162]},"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":3}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}