{"id":"https://openalex.org/W4401880385","doi":"https://doi.org/10.1109/sam60225.2024.10636692","title":"HyperQUEEN-MF: Hyperspectral Quantum Deep Network with Multi-Scale Feature Fusion For Quantum Image Super-Resolution","display_name":"HyperQUEEN-MF: Hyperspectral Quantum Deep Network with Multi-Scale Feature Fusion For Quantum Image Super-Resolution","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4401880385","doi":"https://doi.org/10.1109/sam60225.2024.10636692"},"language":"en","primary_location":{"id":"doi:10.1109/sam60225.2024.10636692","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sam60225.2024.10636692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-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/A5109769327","display_name":"Shih-Min Hsu","orcid":null},"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":"Shih-Min Hsu","raw_affiliation_strings":["Institute of Computer and Communication Engineering,Department of Electrical Engineering, National Cheng Kung University,Tainan,Taiwan"],"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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001599211","display_name":"Tzu-Hsuan Lin","orcid":"https://orcid.org/0000-0002-4615-9792"},"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":"Tzu-Hsuan Lin","raw_affiliation_strings":["Institute of Computer and Communication Engineering,Department of Electrical Engineering, National Cheng Kung University,Tainan,Taiwan"],"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"]}]},{"author_position":"last","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":false,"raw_author_name":"Chia-Hsiang Lin","raw_affiliation_strings":["National Cheng Kung University,Department of Electrical Engineering &#x0026; Miin Wu School of Computing,Tainan,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University,Department of Electrical Engineering &#x0026; Miin Wu School of Computing,Tainan,Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109769327"],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":0.661,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73314765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9922999739646912,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9922000169754028,"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":0.8101832866668701},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6043316125869751},{"id":"https://openalex.org/keywords/quantum","display_name":"Quantum","score":0.5662839412689209},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5522890686988831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5253526568412781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49387675523757935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47603821754455566},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4583117663860321},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4527873396873474},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4444698691368103},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4443841576576233},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.42833566665649414},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37242984771728516},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36835333704948425},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3408879339694977},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2616198658943176},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2325376272201538},{"id":"https://openalex.org/keywords/quantum-mechanics","display_name":"Quantum mechanics","score":0.0554659366607666}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8101832866668701},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6043316125869751},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.5662839412689209},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5522890686988831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253526568412781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49387675523757935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47603821754455566},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4583117663860321},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4527873396873474},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4444698691368103},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4443841576576233},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.42833566665649414},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37242984771728516},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36835333704948425},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3408879339694977},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2616198658943176},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2325376272201538},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0554659366607666},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam60225.2024.10636692","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/sam60225.2024.10636692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1251273715","https://openalex.org/W2070424424","https://openalex.org/W2087263574","https://openalex.org/W2157494358","https://openalex.org/W2168478992","https://openalex.org/W2187351272","https://openalex.org/W2245855345","https://openalex.org/W2767522909","https://openalex.org/W2768345624","https://openalex.org/W2898062170","https://openalex.org/W2907987172","https://openalex.org/W2963372104","https://openalex.org/W2996446969","https://openalex.org/W3027120144","https://openalex.org/W3075397214","https://openalex.org/W3136502865","https://openalex.org/W4200380623","https://openalex.org/W4206163887","https://openalex.org/W4312565331","https://openalex.org/W4312812783","https://openalex.org/W4312923819","https://openalex.org/W4313128313","https://openalex.org/W4321194978","https://openalex.org/W4375928796","https://openalex.org/W4386825310"],"related_works":["https://openalex.org/W2317401237","https://openalex.org/W1990800631","https://openalex.org/W2167120702","https://openalex.org/W2579567122","https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"have":[3],"drawn":[4],"considerable":[5],"attention":[6],"over":[7],"the":[8,23,36,46,83,88,118,129,133,147,156,161],"last":[9],"decade":[10],"thanks":[11],"to":[12,30,131],"their":[13],"high":[14],"spectral":[15],"resolution.":[16],"However,":[17],"as":[18,138],"hardware":[19],"limitations":[20],"often":[21],"cause":[22],"low":[24],"spatial":[25],"resolution":[26],"of":[27,121,163],"HSIs":[28],"compared":[29],"traditional":[31],"RGB":[32],"and":[33,127,183],"multispectral":[34],"images,":[35],"hyperspectral":[37,54,84,165],"image":[38,95],"super-resolution":[39],"(HSR)":[40],"problem":[41,136],"becomes":[42],"crucial":[43],"in":[44,72],"facilitating":[45],"subsequent":[47],"material":[48],"identification":[49],"applications.":[50],"Recently,":[51],"we":[52,111],"developed":[53],"quantum":[55,66,94,119,145,179],"deep":[56],"network":[57],"(HyperQUEEN)":[58],"for":[59,171],"satellite":[60],"data":[61],"restoration,":[62],"thereby":[63],"proving":[64],"that":[65],"features":[67],"do":[68],"play":[69],"some":[70],"role":[71],"developing":[73],"high-performance":[74],"inverse":[75,135,176],"imaging":[76],"algorithms.":[77],"Before":[78],"HyperQUEEN,":[79],"which":[80],"elegantly":[81],"performs":[82],"matrix/tensor":[85],"factorization":[86],"via":[87,178],"so-called":[89],"low-rank":[90],"module,":[91],"other":[92,173],"existing":[93],"processing":[96],"tasks":[97],"can":[98],"only":[99],"achieve":[100],"basic":[101],"geometry":[102],"transforms":[103],"or":[104],"simple":[105],"classification-level":[106],"tasks.":[107],"In":[108],"this":[109],"work,":[110],"go":[112],"a":[113,169],"step":[114],"further":[115],"by":[116],"investigating":[117],"implementation":[120],"multi-scale":[122,144],"feature":[123,180],"fusion":[124],"(MF)":[125],"transformer":[126],"applying":[128],"HyperQUEEN-MF":[130,149],"solve":[132],"challenging":[134,175],"known":[137],"single":[139],"HSR":[140],"(SHSR).":[141],"By":[142],"learning":[143],"features,":[146],"proposed":[148],"does":[150],"show":[151,160],"outstanding":[152],"SHSR":[153],"performances,":[154],"while":[155],"experimental":[157],"results":[158],"also":[159],"feasibility":[162],"quantum-driven":[164],"super-resolution.":[166],"This":[167],"creates":[168],"door":[170],"solving":[172],"advanced":[174],"problems":[177],"information":[181],"extraction":[182],"processing.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
