{"id":"https://openalex.org/W4409561173","doi":"https://doi.org/10.1109/tgrs.2025.3561951","title":"HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration","display_name":"HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409561173","doi":"https://doi.org/10.1109/tgrs.2025.3561951"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3561951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3561951","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/A5000566608","display_name":"Chia-Hsiang Lin","orcid":"https://orcid.org/0000-0002-4865-2329"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Hsiang Lin","raw_affiliation_strings":["Department of Electrical Engineering and the Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","Department of Electrical Engineering, Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081819310","display_name":"Si-Sheng Young","orcid":"https://orcid.org/0009-0005-6207-0519"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Si-Sheng Young","raw_affiliation_strings":["Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Institute of Computer and Communication Engineering, Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Computer and Communication Engineering, National Cheng Kung University, Tainan, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000566608"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":6.8338,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.96754737,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9896000027656555,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9868000149726868,"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":0.8909785747528076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636751115322113},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6015798449516296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49560701847076416},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.48961716890335083},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4865478575229645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4482908844947815},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.4410012364387512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.428894579410553},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36708658933639526},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35827696323394775},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32732847332954407},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14842119812965393},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10115689039230347}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8909785747528076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636751115322113},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6015798449516296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49560701847076416},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.48961716890335083},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4865478575229645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4482908844947815},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4410012364387512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.428894579410553},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36708658933639526},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35827696323394775},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32732847332954407},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14842119812965393},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10115689039230347},{"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.2025.3561951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3561951","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":[{"id":"https://metadata.un.org/sdg/11","score":0.5600000023841858,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2020918964","https://openalex.org/W2052725731","https://openalex.org/W2133665775","https://openalex.org/W2137147061","https://openalex.org/W2245855345","https://openalex.org/W2345286725","https://openalex.org/W2761752711","https://openalex.org/W2770147582","https://openalex.org/W2773752798","https://openalex.org/W2886666371","https://openalex.org/W2945680873","https://openalex.org/W2946510509","https://openalex.org/W2964013315","https://openalex.org/W2964179170","https://openalex.org/W2964257934","https://openalex.org/W2990961515","https://openalex.org/W2996446969","https://openalex.org/W2997865025","https://openalex.org/W2998841120","https://openalex.org/W3010243192","https://openalex.org/W3039247891","https://openalex.org/W3082834645","https://openalex.org/W3092977835","https://openalex.org/W3096831136","https://openalex.org/W3136502865","https://openalex.org/W3186461170","https://openalex.org/W3195168449","https://openalex.org/W3202984956","https://openalex.org/W3215219470","https://openalex.org/W3216759837","https://openalex.org/W3217784149","https://openalex.org/W4200380623","https://openalex.org/W4206163887","https://openalex.org/W4225816429","https://openalex.org/W4226430688","https://openalex.org/W4250658187","https://openalex.org/W4255900881","https://openalex.org/W4287385119","https://openalex.org/W4302888899","https://openalex.org/W4308033654","https://openalex.org/W4319865630","https://openalex.org/W4360980141","https://openalex.org/W4367663152","https://openalex.org/W4375928796","https://openalex.org/W4380785532","https://openalex.org/W4386025863","https://openalex.org/W4386075872","https://openalex.org/W4387042027","https://openalex.org/W4388052952","https://openalex.org/W4390754090","https://openalex.org/W4401980821","https://openalex.org/W4404035896","https://openalex.org/W4405360444","https://openalex.org/W4406094283","https://openalex.org/W4406261914","https://openalex.org/W4407693550","https://openalex.org/W6631190155","https://openalex.org/W6685078114","https://openalex.org/W6692846177","https://openalex.org/W6750964650","https://openalex.org/W6755964158","https://openalex.org/W6766978945","https://openalex.org/W6779669310","https://openalex.org/W6801266815","https://openalex.org/W6867467837","https://openalex.org/W6876691502"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2502115930","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990"],"abstract_inverted_index":{"Quantum":[0],"machine":[1],"intelligence":[2],"starts":[3],"showing":[4],"its":[5],"impact":[6],"on":[7],"satellite":[8],"remote":[9],"sensing":[10],"(SRS).":[11],"Also,":[12],"recent":[13],"literature":[14],"exhibits":[15],"that":[16],"quantum":[17,31,40,47,53,80,140,145,161,167,193,201,216,222],"generative":[18,32],"intelligences":[19],"encompass":[20],"superior":[21],"potential":[22],"than":[23],"their":[24],"classical":[25,84,173,236],"counterpart,":[26],"motivating":[27],"us":[28,105],"to":[29,69,90,106,126,149,163],"develop":[30],"adversarial":[33],"networks":[34],"(GANs)":[35],"for":[36,101,134],"SRS.":[37,70,102,135],"However,":[38],"existing":[39],"GANs":[41],"are":[42,118],"restricted":[43],"by":[44],"the":[45,72,88,139,156,160,180,183,192,215,220,225,229,235],"limited":[46,187],"bit":[48],"(qubit)":[49],"resources":[50],"of":[51,75,129,176,228],"current":[52],"computers":[54],"and":[55,116,189,208,218,248],"process":[56],"merely":[57],"a":[58,79,83,108,127],"small":[59],"2":[60,62],"\u00d7":[61,92],"grayscale":[63],"image,":[64],"far":[65],"from":[66],"being":[67],"applicable":[68],"Recently,":[71],"novel":[73],"concept":[74],"hybrid":[76,111,119,200],"quantum-classical":[77],"GAN,":[78,202],"generator":[81,115],"with":[82,142,169],"discriminator,":[85],"has":[86],"upgraded":[87],"order":[89],"28":[91,93],"(still":[94],"grayscale),":[95],"whereas":[96],"it":[97],"is":[98],"still":[99],"insufficient":[100],"This":[103],"motivates":[104],"design":[107,138],"radically":[109],"new":[110],"framework,":[112],"where":[113,211],"both":[114],"discriminator":[117],"architectures.":[120],"We":[121],"demonstrate":[122],"this":[123],"feasibility,":[124],"leading":[125],"breakthrough":[128],"processing":[130,153],"128\u00d7128":[131],"hyperspectral":[132,239],"images":[133],"Specifically,":[136],"we":[137],"part":[141,227],"mathematically":[143],"provable":[144],"full":[146],"expressibility":[147],"(FE)":[148],"address":[150],"core":[151],"signal":[152],"tasks,":[154],"wherein":[155],"FE":[157],"property":[158],"allows":[159],"network":[162,230],"realize":[164],"any":[165],"valid":[166],"operator":[168],"appropriate":[170],"training.":[171],"The":[172,197],"part,":[174],"composed":[175],"convolutional":[177],"layers,":[178],"treats":[179],"read-in":[181],"(compressing":[182],"optical":[184],"information":[185],"into":[186],"qubits)":[188],"read-out":[190],"(addressing":[191],"collapse":[194],"effect)":[195],"procedures.":[196],"proposed":[198],"innovative":[199],"named":[203],"\u201cHyperspectral":[204],"Knot-like":[205],"IntelligeNt":[206],"dIscrimiNator":[207],"Generator\u201d":[209],"(HyperKING),":[210],"\u201cknot\u201d":[212],"partly":[213,219],"symbolizes":[214],"entanglement":[217],"compressed":[221],"domain":[223],"in":[224,238],"central":[226],"architecture.":[231],"HyperKING":[232],"significantly":[233],"surpasses":[234],"approaches":[237],"tensor":[240],"completion,":[241],"mixed":[242],"noise":[243],"removal":[244],"(about":[245],"3dB":[246],"improvement),":[247],"blind":[249],"source":[250],"separation":[251],"results.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
