{"id":"https://openalex.org/W2901044172","doi":"https://doi.org/10.1109/tgrs.2018.2877124","title":"Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning","display_name":"Spectral Super Resolution of Hyperspectral Images via Coupled Dictionary Learning","publication_year":2018,"publication_date":"2018-11-14","ids":{"openalex":"https://openalex.org/W2901044172","doi":"https://doi.org/10.1109/tgrs.2018.2877124","mag":"2901044172"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2877124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2877124","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/A5067058424","display_name":"Konstantina Fotiadou","orcid":"https://orcid.org/0000-0003-0167-1415"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina Fotiadou","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece"],"raw_orcid":"https://orcid.org/0000-0003-0167-1415","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002165073","display_name":"Grigorios Tsagkatakis","orcid":"https://orcid.org/0000-0001-6498-9450"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Grigorios Tsagkatakis","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece"],"raw_orcid":"https://orcid.org/0000-0001-6498-9450","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060388738","display_name":"Panagiotis Tsakalides","orcid":"https://orcid.org/0000-0003-4918-603X"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Tsakalides","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece"],"raw_orcid":"https://orcid.org/0000-0003-4918-603X","affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research & Technology\u2013Hellas, Heraklion, Greece","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8901234"],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.7217,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.91006226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"57","issue":"5","first_page":"2777","last_page":"2797"},"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":0.9995999932289124,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9176440238952637},{"id":"https://openalex.org/keywords/full-spectral-imaging","display_name":"Full spectral imaging","score":0.8222253918647766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7170950770378113},{"id":"https://openalex.org/keywords/spectral-resolution","display_name":"Spectral resolution","score":0.5895804166793823},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5674249529838562},{"id":"https://openalex.org/keywords/spectral-imaging","display_name":"Spectral imaging","score":0.5595201849937439},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.5478435158729553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327190160751343},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48772844672203064},{"id":"https://openalex.org/keywords/spectral-space","display_name":"Spectral space","score":0.4746459126472473},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.457851767539978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4514273405075073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3318955898284912},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3195542097091675},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16142359375953674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15192469954490662},{"id":"https://openalex.org/keywords/spectral-line","display_name":"Spectral line","score":0.1302860677242279},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10267031192779541}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9176440238952637},{"id":"https://openalex.org/C78660771","wikidata":"https://www.wikidata.org/wiki/Q5508206","display_name":"Full spectral imaging","level":3,"score":0.8222253918647766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7170950770378113},{"id":"https://openalex.org/C124967146","wikidata":"https://www.wikidata.org/wiki/Q3457898","display_name":"Spectral resolution","level":3,"score":0.5895804166793823},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5674249529838562},{"id":"https://openalex.org/C3232514","wikidata":"https://www.wikidata.org/wiki/Q7575196","display_name":"Spectral imaging","level":2,"score":0.5595201849937439},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.5478435158729553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327190160751343},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48772844672203064},{"id":"https://openalex.org/C2778740170","wikidata":"https://www.wikidata.org/wiki/Q7575210","display_name":"Spectral space","level":2,"score":0.4746459126472473},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.457851767539978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4514273405075073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3318955898284912},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3195542097091675},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16142359375953674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15192469954490662},{"id":"https://openalex.org/C4839761","wikidata":"https://www.wikidata.org/wiki/Q212111","display_name":"Spectral line","level":2,"score":0.1302860677242279},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10267031192779541},{"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/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2877124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2877124","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":[{"display_name":"Quality Education","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W147244475","https://openalex.org/W817041652","https://openalex.org/W817971873","https://openalex.org/W1495168473","https://openalex.org/W1532610010","https://openalex.org/W1554810399","https://openalex.org/W1916874600","https://openalex.org/W1967212196","https://openalex.org/W1973732034","https://openalex.org/W1984892927","https://openalex.org/W1986464277","https://openalex.org/W1990231296","https://openalex.org/W1993215357","https://openalex.org/W2001289295","https://openalex.org/W2014316959","https://openalex.org/W2017121865","https://openalex.org/W2023303051","https://openalex.org/W2033918435","https://openalex.org/W2044439250","https://openalex.org/W2066465169","https://openalex.org/W2067782748","https://openalex.org/W2072924910","https://openalex.org/W2075594480","https://openalex.org/W2087263574","https://openalex.org/W2097259623","https://openalex.org/W2099770336","https://openalex.org/W2100056645","https://openalex.org/W2105090634","https://openalex.org/W2107115785","https://openalex.org/W2111924917","https://openalex.org/W2121058967","https://openalex.org/W2129953395","https://openalex.org/W2130835014","https://openalex.org/W2131697388","https://openalex.org/W2136467648","https://openalex.org/W2138621882","https://openalex.org/W2148312679","https://openalex.org/W2160547390","https://openalex.org/W2163886442","https://openalex.org/W2164278908","https://openalex.org/W2164306391","https://openalex.org/W2171171329","https://openalex.org/W2171211028","https://openalex.org/W2232920176","https://openalex.org/W2295652899","https://openalex.org/W2314528731","https://openalex.org/W2327302159","https://openalex.org/W2394774286","https://openalex.org/W2514340250","https://openalex.org/W2558072172","https://openalex.org/W2576813028","https://openalex.org/W2580209174","https://openalex.org/W2596960420","https://openalex.org/W2604824122","https://openalex.org/W2619662254","https://openalex.org/W2625894731","https://openalex.org/W2752716059","https://openalex.org/W2766094022","https://openalex.org/W2767522909","https://openalex.org/W2963674498","https://openalex.org/W3099180803","https://openalex.org/W3137059050","https://openalex.org/W4244228261","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6623043969","https://openalex.org/W6642098062","https://openalex.org/W6648564046","https://openalex.org/W6735031159"],"related_works":["https://openalex.org/W4386427838","https://openalex.org/W2093019223","https://openalex.org/W2050790932","https://openalex.org/W4214939362","https://openalex.org/W2361610245","https://openalex.org/W2889956472","https://openalex.org/W3178760882","https://openalex.org/W1992653101","https://openalex.org/W1038686067","https://openalex.org/W1982418987"],"abstract_inverted_index":{"High-spectral":[0],"resolution":[1,91,180,221],"imaging":[2,61],"systems":[3,62],"play":[4],"a":[5,16,40,49,76,134],"critical":[6],"role":[7],"in":[8,15,27,93,196],"the":[9,28,57,65,110,113,124,142,170,177,190,204,207],"identification":[10],"and":[11,71,89,119,163,183],"characterization":[12],"of":[13,18,30,60,68,87,112,117,146,172,206],"objects":[14],"scene":[17],"interest.":[19],"Unfortunately,":[20],"multiple":[21],"factors":[22],"impair":[23],"spectral":[24,33,42,58,97,103,136,143,153],"resolution,":[25],"as":[26],"case":[29],"modern":[31],"snapshot":[32],"imagers":[34],"that":[35,189],"associate":[36],"each":[37],"hyperpixel":[38],"with":[39],"specific":[41],"band.":[43],"In":[44,130],"this":[45],"paper,":[46],"we":[47,120,132,150,167,184],"introduce":[48],"novel":[50],"postacquisition":[51],"computational":[52],"technique":[53],"aiming":[54],"to":[55,95,122,187,210,219],"enhance":[56],"dimensionality":[59],"by":[63,161],"exploiting":[64],"mathematical":[66],"frameworks":[67],"sparse":[69],"representations":[70],"dictionary":[72,78,105],"learning.":[73],"We":[74,100],"propose":[75],"coupled":[77,104],"learning":[79,106],"model":[80],"which":[81],"considers":[82],"joint":[83],"feature":[84],"spaces,":[85],"composed":[86],"low-":[88],"high-spectral":[90,179],"hypercubes,":[92,214],"order":[94],"achieve":[96],"superresolution":[98,154],"performance.":[99],"formulate":[101],"our":[102,152],"optimization":[107],"problem":[108,171],"within":[109],"context":[111],"alternating":[114],"direction":[115],"method":[116],"multipliers,":[118],"manage":[121],"update":[123],"involved":[125],"quantities":[126],"via":[127],"closed-form":[128],"expressions.":[129],"addition,":[131],"consider":[133],"realistic":[135],"subsampling":[137],"scenario,":[138],"taking":[139],"into":[140],"account":[141],"response":[144],"functions":[145],"different":[147],"satellites.":[148],"Moreover,":[149],"apply":[151],"algorithm":[155],"on":[156],"real":[157],"satellite":[158],"data":[159,181],"acquired":[160],"Landsat-8":[162],"Sentinel-2":[164],"sensors.":[165],"Finally,":[166],"have":[168],"investigated":[169],"hyperspectral":[173,197],"image":[174,198],"unmixing":[175],"using":[176],"recovered":[178],"cube,":[182],"are":[185],"able":[186],"demonstrate":[188,203],"proposed":[191,208],"scheme":[192],"provides":[193],"significant":[194],"value":[195],"understanding":[199],"techniques.":[200],"Experimental":[201],"results":[202],"ability":[205],"approach":[209],"synthesize":[211],"high-spectral-resolution":[212],"3-D":[213],"achieving":[215],"better":[216],"performance":[217],"compared":[218],"state-of-the-art":[220],"enhancement":[222],"methods.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}
