{"id":"https://openalex.org/W4313169358","doi":"https://doi.org/10.1109/tgrs.2022.3229439","title":"Spectral Super-Resolution Based on Dictionary Optimization Learning via Spectral Library","display_name":"Spectral Super-Resolution Based on Dictionary Optimization Learning via Spectral Library","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4313169358","doi":"https://doi.org/10.1109/tgrs.2022.3229439"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3229439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3229439","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/A5014677980","display_name":"Hao-Fang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao-Fang Yan","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073503029","display_name":"Yongqiang Zhao","orcid":"https://orcid.org/0000-0002-6974-7327"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong-Qiang Zhao","raw_affiliation_strings":["School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047379149","display_name":"Jonathan Cheung-Wai Chan","orcid":"https://orcid.org/0000-0002-3741-1124"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Jonathan Cheung-Wai Chan","raw_affiliation_strings":["Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Informatics, Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002242434","display_name":"Seong G. Kong","orcid":"https://orcid.org/0000-0002-0335-6526"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong G Kong","raw_affiliation_strings":["Department of Computer Engineering, Sejong University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014677980"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.4849,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.903445,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"16"},"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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":0.874881386756897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6816040277481079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6261476278305054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5776095986366272},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5569013357162476},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4830230176448822},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"Spectral resolution","score":0.4659942388534546},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.453839510679245},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41318878531455994},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.09798914194107056}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.874881386756897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6816040277481079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6261476278305054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5776095986366272},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5569013357162476},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4830230176448822},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.4659942388534546},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.453839510679245},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41318878531455994},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.09798914194107056},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3229439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3229439","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"},{"id":"pmh:oai:vubissmart:VUBISSMART:2000:172199","is_oa":false,"landing_page_url":"https://biblio.vub.ac.be/vubir/spectral-superresolution-based-on-dictionary-optimization-learning-via-spectral-library(d0e1a8cf-848e-4daf-af96-71590d3d0295).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306402573","display_name":"VUBIR (Vrije Universiteit Brussel)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I13469542","host_organization_name":"Vrije Universiteit Brussel","host_organization_lineage":["https://openalex.org/I13469542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1306251089","display_name":null,"funder_award_id":"2020ZDLGY07-11","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G7021120139","display_name":null,"funder_award_id":"JCYJ20180306171146740","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G7692140349","display_name":null,"funder_award_id":"JCYJ20170815162956949","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"},{"id":"https://openalex.org/G7865873667","display_name":null,"funder_award_id":"61771391","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/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W8423413","https://openalex.org/W1910108985","https://openalex.org/W1970099214","https://openalex.org/W1988386267","https://openalex.org/W1990231296","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2007104720","https://openalex.org/W2008847349","https://openalex.org/W2010797000","https://openalex.org/W2012946078","https://openalex.org/W2013482901","https://openalex.org/W2027878671","https://openalex.org/W2030754587","https://openalex.org/W2048976066","https://openalex.org/W2053081714","https://openalex.org/W2070424424","https://openalex.org/W2079558799","https://openalex.org/W2080116978","https://openalex.org/W2082590892","https://openalex.org/W2087263574","https://openalex.org/W2092116045","https://openalex.org/W2149471024","https://openalex.org/W2150081556","https://openalex.org/W2161815745","https://openalex.org/W2163886442","https://openalex.org/W2194818953","https://openalex.org/W2203864774","https://openalex.org/W2327302159","https://openalex.org/W2328456116","https://openalex.org/W2344404138","https://openalex.org/W2511036283","https://openalex.org/W2520430674","https://openalex.org/W2559597482","https://openalex.org/W2594779502","https://openalex.org/W2604824122","https://openalex.org/W2625894731","https://openalex.org/W2753685993","https://openalex.org/W2766101120","https://openalex.org/W2766419681","https://openalex.org/W2776639132","https://openalex.org/W2778801512","https://openalex.org/W2798895617","https://openalex.org/W2807593488","https://openalex.org/W2890344598","https://openalex.org/W2893739000","https://openalex.org/W2895021180","https://openalex.org/W2895667927","https://openalex.org/W2897962879","https://openalex.org/W2901677542","https://openalex.org/W2941707854","https://openalex.org/W2963505747","https://openalex.org/W2963947695","https://openalex.org/W2964140612","https://openalex.org/W2997797376","https://openalex.org/W3011076973","https://openalex.org/W3034461890","https://openalex.org/W3036200672","https://openalex.org/W3042421830","https://openalex.org/W3095529262","https://openalex.org/W3099189289","https://openalex.org/W3099258777","https://openalex.org/W3104313739","https://openalex.org/W3155616613","https://openalex.org/W3163663634","https://openalex.org/W3194440816","https://openalex.org/W3208146808","https://openalex.org/W4211171471","https://openalex.org/W4225630686","https://openalex.org/W4299902414","https://openalex.org/W4376463272","https://openalex.org/W6736270120","https://openalex.org/W6747024431","https://openalex.org/W6750607774"],"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/W3024740485","https://openalex.org/W2107175121","https://openalex.org/W1999581849","https://openalex.org/W2084145074"],"abstract_inverted_index":{"Extensive":[0],"works":[1],"have":[2],"been":[3,28],"reported":[4],"in":[5,66],"hyperspectral":[6,117,145],"images":[7,11],"(HSIs)":[8],"and":[9,42,115,190],"multispectral":[10],"(MSIs)":[12],"fusion":[13],"to":[14,31,89,130],"raise":[15],"the":[16,22,67,85,96,110,116,144,150,172,188],"spatial":[17,111],"resolution":[18],"of":[19,25,37,64,157,192],"HSIs.":[20,52],"However,":[21],"limited":[23],"acquisition":[24],"HSIs":[26],"has":[27],"an":[29,79],"obstacle":[30],"such":[32],"approaches.":[33],"Spectral":[34],"super-resolution":[35,62],"(SSR)":[36],"MSI":[38,114,158],"is":[39,100,106,147,159],"a":[40,72,76,90,120,135,139,162],"challenging":[41],"less":[43],"investigated":[44],"topic,":[45],"which":[46,83],"can":[47],"also":[48],"provide":[49],"high-resolution":[50],"synthetic":[51],"To":[53],"deal":[54],"with":[55,161,200],"this":[56],"high":[57],"ill-posedness":[58],"problem,":[59],"we":[60,125,170],"perform":[61],"enhancement":[63],"MSIs":[65],"spectral":[68,73,81,87,92,122],"domain":[69],"by":[70,108,197],"incorporating":[71],"library":[74,88,93],"as":[75],"priori.":[77],"First,":[78],"aligned":[80],"library,":[82],"maps":[84],"open-source":[86],"specific":[91,121],"created":[94],"for":[95],"reconstructed":[97],"HR":[98,174],"HSI,":[99],"represented.":[101],"An":[102],"intermediate":[103],"latent":[104,132,151],"HSI":[105,133,141],"obtained":[107,160],"fusing":[109,166],"information":[112,118,146],"from":[113,119,149],"library.":[123],"Then,":[124],"use":[126],"low-rank":[127,140],"attribute":[128],"embedding":[129],"transfer":[131],"into":[134],"robust":[136],"subspace.":[137],"Finally,":[138],"dictionary":[142],"representing":[143],"learned":[148],"HSI.":[152,175],"The":[153,176],"adaptive":[154],"sparse":[155],"coefficient":[156],"nonnegative":[163],"constraint.":[164],"By":[165],"these":[167],"two":[168],"terms,":[169],"get":[171],"final":[173],"proposed":[177,194],"SSR":[178,195],"model":[179],"does":[180],"not":[181],"require":[182],"any":[183],"pretraining":[184],"stages.":[185],"We":[186],"confirm":[187],"validity":[189],"superiority":[191],"our":[193],"algorithm":[196],"comparing":[198],"it":[199],"several":[201],"benchmark":[202],"state-of-the-art":[203],"approaches":[204],"on":[205],"different":[206],"datasets.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
