{"id":"https://openalex.org/W4395069490","doi":"https://doi.org/10.1109/tip.2024.3390582","title":"CS2DIPs: Unsupervised HSI Super-Resolution Using Coupled Spatial and Spectral DIPs","display_name":"CS2DIPs: Unsupervised HSI Super-Resolution Using Coupled Spatial and Spectral DIPs","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395069490","doi":"https://doi.org/10.1109/tip.2024.3390582","pmid":"https://pubmed.ncbi.nlm.nih.gov/38656842"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3390582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3390582","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5101941004","display_name":"Fang Yuan","orcid":"https://orcid.org/0000-0003-3042-4042"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-3042-4042","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610065","display_name":"Yipeng Liu","orcid":"https://orcid.org/0000-0003-2084-8781"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yipeng Liu","raw_affiliation_strings":["School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2084-8781","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061813280","display_name":"Chong\u2010Yung Chi","orcid":"https://orcid.org/0000-0001-5004-7155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong-Yung Chi","raw_affiliation_strings":["Institute of Communications Engineering, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, China"],"raw_orcid":"https://orcid.org/0000-0001-5004-7155","affiliations":[{"raw_affiliation_string":"Institute of Communications Engineering, Department of Electrical Engineering, National Tsing Hua University, Hsinchu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101922422","display_name":"Zhen Long","orcid":"https://orcid.org/0000-0002-1772-916X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Long","raw_affiliation_strings":["School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1772-916X","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034427070","display_name":"Ce Zhu","orcid":"https://orcid.org/0000-0001-7607-707X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Zhu","raw_affiliation_strings":["School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-7607-707X","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.3386,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94775658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":null,"first_page":"3090","last_page":"3101"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.998199999332428,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8241764307022095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6509694457054138},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.642846405506134},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.628688395023346},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5979344248771667},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.582085132598877},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.49115511775016785},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.15337610244750977},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1032276451587677}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8241764307022095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509694457054138},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.642846405506134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.628688395023346},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5979344248771667},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.582085132598877},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.49115511775016785},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.15337610244750977},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1032276451587677},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3390582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3390582","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38656842","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38656842","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.5299999713897705}],"awards":[{"id":"https://openalex.org/G2904533233","display_name":null,"funder_award_id":"MOST 111-2221-E-007-047-MY2","funder_id":"https://openalex.org/F4320322108","funder_display_name":"Ministry of Science and Technology"},{"id":"https://openalex.org/G31350730","display_name":null,"funder_award_id":"62171088","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5962431186","display_name":null,"funder_award_id":"62020106011","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/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1916874600","https://openalex.org/W1990231296","https://openalex.org/W2021046129","https://openalex.org/W2022470997","https://openalex.org/W2053514113","https://openalex.org/W2054439121","https://openalex.org/W2081544115","https://openalex.org/W2083041300","https://openalex.org/W2126025632","https://openalex.org/W2144151128","https://openalex.org/W2162842940","https://openalex.org/W2163547919","https://openalex.org/W2221899823","https://openalex.org/W2239643428","https://openalex.org/W2323104748","https://openalex.org/W2336406062","https://openalex.org/W2489822048","https://openalex.org/W2547363876","https://openalex.org/W2566771666","https://openalex.org/W2748530166","https://openalex.org/W2768345624","https://openalex.org/W2773850265","https://openalex.org/W2778905022","https://openalex.org/W2799848215","https://openalex.org/W2804744787","https://openalex.org/W2887210918","https://openalex.org/W2892302943","https://openalex.org/W2898001268","https://openalex.org/W2914483840","https://openalex.org/W2941707854","https://openalex.org/W2948475055","https://openalex.org/W2954661277","https://openalex.org/W2962907479","https://openalex.org/W2963426457","https://openalex.org/W2964013315","https://openalex.org/W2964140612","https://openalex.org/W2990162903","https://openalex.org/W2997011911","https://openalex.org/W2998841120","https://openalex.org/W3034400067","https://openalex.org/W3036475713","https://openalex.org/W3038214644","https://openalex.org/W3039186706","https://openalex.org/W3041293645","https://openalex.org/W3044477028","https://openalex.org/W3090929676","https://openalex.org/W3093945404","https://openalex.org/W3097353710","https://openalex.org/W3102912004","https://openalex.org/W3104960002","https://openalex.org/W3107490592","https://openalex.org/W3132115664","https://openalex.org/W3135385719","https://openalex.org/W3153687269","https://openalex.org/W3160949528","https://openalex.org/W3173269149","https://openalex.org/W3196711624","https://openalex.org/W3201640799","https://openalex.org/W3208146808","https://openalex.org/W4206245060","https://openalex.org/W4223566030","https://openalex.org/W4285248993","https://openalex.org/W4285264860","https://openalex.org/W4288064619","https://openalex.org/W4295413390","https://openalex.org/W4304481541","https://openalex.org/W4319865630","https://openalex.org/W4378421719","https://openalex.org/W4384206036","https://openalex.org/W6755308174","https://openalex.org/W6755694737","https://openalex.org/W6810111173"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160","https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2011962637"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"fusing":[3],"high":[4],"spatial":[5,12,70,122,181],"resolution":[6,13],"multispectral":[7],"images":[8,15],"(HR-MSIs)":[9],"and":[10,71,84,109,123,132,147,182,193],"low":[11],"hyperspectral":[14,24],"(LR-HSIs)":[16],"has":[17],"become":[18],"a":[19,68,186],"widely":[20],"used":[21,138],"approach":[22],"for":[23,78,151],"image":[25,35,74],"super-resolution":[26],"(HSI-SR).":[27],"Various":[28],"unsupervised":[29],"HSI-SR":[30,156],"methods":[31,49],"based":[32],"on":[33],"deep":[34,73],"prior":[36],"(DIP)":[37],"have":[38],"gained":[39],"wide":[40],"popularity":[41],"thanks":[42],"to":[43,103,119,139,205],"no":[44],"pre-training":[45],"requirement.":[46],"However,":[47],"DIP-based":[48,199],"often":[50],"demonstrate":[51,206],"mediocre":[52],"performance":[53,64,192,210],"in":[54,126],"extracting":[55],"latent":[56],"information":[57],"from":[58,128,170],"the":[59,79,93,100,106,129,141,144,152,155,174],"data.":[60],"To":[61],"resolve":[62],"this":[63],"deficiency,":[65],"we":[66,91],"propose":[67],"coupled":[69,115],"spectral":[72,110,124,148,183],"priors":[75],"(CS2DIPs)":[76],"method":[77],"fusion":[80,153],"of":[81,143,154],"an":[82,85,88],"HR-MSI":[83,131],"LR-HSI":[86],"into":[87,99,167],"HR-HSI.":[89],"Specifically,":[90],"integrate":[92],"nonnegative":[94],"matrix-vector":[95],"tensor":[96,108,146,159],"factorization":[97],"(NMVTF)":[98],"DIP":[101],"framework":[102],"jointly":[104],"learn":[105],"abundance":[107,145],"feature":[111],"matrix.":[112],"The":[113],"two":[114],"DIPs":[116],"are":[117,136,203],"designed":[118],"capture":[120,179],"essential":[121],"features":[125],"parallel":[127],"observed":[130],"LR-HSI,":[133],"respectively,":[134],"which":[135],"then":[137],"guide":[140],"generation":[142],"signature":[149],"matrix":[150],"by":[157],"mode-3":[158],"product,":[160],"meanwhile":[161],"taking":[162],"some":[163],"inherent":[164],"physical":[165],"constraints":[166],"account.":[168],"Free":[169],"any":[171],"training":[172],"data,":[173],"proposed":[175],"CS2DIPs":[176],"can":[177],"effectively":[178],"rich":[180],"information.":[184],"As":[185],"result,":[187],"it":[188],"exhibits":[189],"much":[190],"superior":[191],"convergence":[194],"speed":[195],"over":[196],"most":[197],"existing":[198],"methods.":[200,216],"Extensive":[201],"experiments":[202],"provided":[204],"its":[207],"state-of-the-art":[208],"overall":[209],"including":[211],"comparison":[212],"with":[213],"benchmark":[214],"peer":[215]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
