{"id":"https://openalex.org/W4390970172","doi":"https://doi.org/10.1109/tnnls.2023.3340561","title":"Hyperspectral Image Super Resolution With Real Unaligned RGB Guidance","display_name":"Hyperspectral Image Super Resolution With Real Unaligned RGB Guidance","publication_year":2024,"publication_date":"2024-01-18","ids":{"openalex":"https://openalex.org/W4390970172","doi":"https://doi.org/10.1109/tnnls.2023.3340561","pmid":"https://pubmed.ncbi.nlm.nih.gov/38236669"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3340561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3340561","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5084727118","display_name":"Zeqiang Lai","orcid":"https://orcid.org/0009-0005-6102-4916"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zeqiang Lai","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738025","display_name":"Ying Fu","orcid":"https://orcid.org/0000-0002-6677-694X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Fu","raw_affiliation_strings":["MIIT Key Laboratory of Complex-field Intelligent Exploration, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","School of Computer Science and Technology, MIIT Key Laboratory of Complex-field Intelligent Exploration, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6677-694X","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-field Intelligent Exploration, School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"raw_affiliation_string":"School of Computer Science and Technology, MIIT Key Laboratory of Complex-field Intelligent Exploration, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433246","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-1017-7179"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["MIIT Key Laboratory of Complex-Field Intelligent Exploration, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1017-7179","affiliations":[{"raw_affiliation_string":"MIIT Key Laboratory of Complex-Field Intelligent Exploration, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084727118"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":7.568,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97450631,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"36","issue":"2","first_page":"2999","last_page":"3011"},"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":0.9987000226974487,"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":0.9987000226974487,"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/rgb-color-model","display_name":"RGB color model","score":0.8770523071289062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8108596801757812},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7035864591598511},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6618289947509766},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5984941720962524},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5206329226493835},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5173291563987732},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4486697316169739},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43688690662384033},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.43661922216415405}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8770523071289062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8108596801757812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7035864591598511},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6618289947509766},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5984941720962524},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5206329226493835},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5173291563987732},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4486697316169739},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43688690662384033},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.43661922216415405},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3340561","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3340561","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38236669","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38236669","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2575069074","display_name":null,"funder_award_id":"62088101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6513703716","display_name":null,"funder_award_id":"62331006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8521839720","display_name":null,"funder_award_id":"62171038","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1521436688","https://openalex.org/W1600877088","https://openalex.org/W1901129140","https://openalex.org/W1916874600","https://openalex.org/W2012946078","https://openalex.org/W2030270830","https://openalex.org/W2085261163","https://openalex.org/W2092116045","https://openalex.org/W2102273661","https://openalex.org/W2104269704","https://openalex.org/W2124386111","https://openalex.org/W2133665775","https://openalex.org/W2162842940","https://openalex.org/W2200474412","https://openalex.org/W2221899823","https://openalex.org/W2327302159","https://openalex.org/W2341545927","https://openalex.org/W2520430674","https://openalex.org/W2520844005","https://openalex.org/W2535388113","https://openalex.org/W2560474170","https://openalex.org/W2615706402","https://openalex.org/W2767522909","https://openalex.org/W2792111852","https://openalex.org/W2804744787","https://openalex.org/W2883996939","https://openalex.org/W2889107641","https://openalex.org/W2893739000","https://openalex.org/W2902482012","https://openalex.org/W2908510526","https://openalex.org/W2941707854","https://openalex.org/W2941769495","https://openalex.org/W2948475055","https://openalex.org/W2963284277","https://openalex.org/W2963782415","https://openalex.org/W2963872754","https://openalex.org/W2964140612","https://openalex.org/W2964156315","https://openalex.org/W2987901342","https://openalex.org/W2996594420","https://openalex.org/W3013064625","https://openalex.org/W3013402579","https://openalex.org/W3016106731","https://openalex.org/W3017506038","https://openalex.org/W3025440211","https://openalex.org/W3027120144","https://openalex.org/W3032347696","https://openalex.org/W3035354376","https://openalex.org/W3100280854","https://openalex.org/W3102745911","https://openalex.org/W3109908659","https://openalex.org/W3128204528","https://openalex.org/W4206819352","https://openalex.org/W4225630686","https://openalex.org/W4233489315","https://openalex.org/W4285202680","https://openalex.org/W4296208569","https://openalex.org/W6623232459","https://openalex.org/W6704443453","https://openalex.org/W6739879593","https://openalex.org/W6757817989","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374"],"abstract_inverted_index":{"Fusion-based":[0],"hyperspectral":[1],"image":[2],"(HSI)":[3],"super-resolution":[4,75,252],"has":[5],"become":[6],"increasingly":[7],"prevalent":[8],"for":[9,64,95,223],"its":[10],"capability":[11],"to":[12,156,181,190,194,215],"integrate":[13],"high-frequency":[14],"spatial":[15],"information":[16],"from":[17],"the":[18,29,36,72,90,122,159,164,168,191,196,217,220],"paired":[19,210],"high-resolution":[20],"(HR)":[21],"RGB":[22,44,53,126,140],"reference":[23,97],"(Ref-RGB)":[24],"image.":[25],"However,":[26],"most":[27],"of":[28,92,131,145,161,171,209,219],"existing":[30,93,248],"methods":[31,94,253],"either":[32],"heavily":[33],"rely":[34],"on":[35,184,230,254],"accurate":[37],"alignment":[38,154],"between":[39],"low-resolution":[40],"(LR)":[41],"HSIs":[42],"and":[43,84,113,125,138,212,233,237,250,264],"images":[45,54,79,127,147],"or":[46],"can":[47],"only":[48],"deal":[49],"with":[50,76,106,134,163],"simulated":[51,232],"unaligned":[52,96,213],"generated":[55],"by":[56,151,176],"rigid":[57,83],"geometric":[58],"transformations,":[59],"which":[60],"weakens":[61],"their":[62],"effectiveness":[63],"real":[65,77,224],"scenes.":[66,225],"In":[67],"this":[68],"article,":[69],"we":[70,99,201],"explore":[71],"fusion-based":[73,251],"HSI":[74,102,124,136,205,211],"Ref-RGB":[78,146,162,172],"that":[80,240],"have":[81],"both":[82,231],"nonrigid":[85],"misalignments.":[86],"To":[87],"properly":[88],"address":[89],"limitations":[91],"images,":[98],"propose":[100],"an":[101,135,139,177],"fusion":[103,192,206],"network":[104,119],"(HSIFN)":[105],"heterogeneous":[107],"feature":[108,111,115],"extractions,":[109],"multistage":[110,153],"alignments,":[112],"attentive":[114],"fusion.":[116],"Specifically,":[117],"our":[118,234,241],"first":[120],"transforms":[121],"input":[123],"into":[128],"two":[129],"sets":[130],"multiscale":[132],"features":[133,144,160,170],"encoder":[137],"encoder,":[141],"respectively.":[142],"The":[143,262],"are":[148,173,228,266],"then":[149],"processed":[150],"a":[152,203,244],"module":[155,180],"explicitly":[157],"align":[158],"LR":[165],"HSI.":[166,199],"Finally,":[167],"aligned":[169],"further":[174],"adjusted":[175],"adaptive":[178],"attention":[179],"focus":[182],"more":[183],"discriminative":[185],"regions":[186],"before":[187],"sending":[188],"them":[189],"decoder":[193],"generate":[195],"reconstructed":[197],"HR":[198],"Additionally,":[200],"collect":[202],"real-world":[204,235],"dataset,":[207],"consisting":[208],"Ref-RGB,":[214],"support":[216],"evaluation":[218],"proposed":[221],"model":[222],"Extensive":[226],"experiments":[227],"conducted":[229],"datasets,":[236],"it":[238],"shows":[239],"method":[242],"obtains":[243],"clear":[245],"improvement":[246],"over":[247],"single-image":[249],"quantitative":[255],"assessment":[256],"as":[257,259],"well":[258],"visual":[260],"comparison.":[261],"code":[263],"dataset":[265],"publicly":[267],"available":[268],"at":[269],"https://zeqiang-lai.github.io/HSI-RefSR/.":[270]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":10}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
