{"id":"https://openalex.org/W4400525744","doi":"https://doi.org/10.1109/tcyb.2024.3412270","title":"Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising","display_name":"Unsupervised Adaptation Learning for Real Multiplatform Hyperspectral Image Denoising","publication_year":2024,"publication_date":"2024-07-11","ids":{"openalex":"https://openalex.org/W4400525744","doi":"https://doi.org/10.1109/tcyb.2024.3412270","pmid":"https://pubmed.ncbi.nlm.nih.gov/38990744"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2024.3412270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3412270","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/tcyb.2024.3412270","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065344174","display_name":"Zhaozhi Luo","orcid":"https://orcid.org/0000-0002-2508-906X"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Zhaozhi Luo","raw_affiliation_strings":["Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-2508-906X","affiliations":[{"raw_affiliation_string":"Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352781","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-0493-3954"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0493-3954","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036822460","display_name":"Petri Pellikka","orcid":"https://orcid.org/0000-0002-5996-9268"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN","FI"],"is_corresponding":false,"raw_author_name":"Petri Pellikka","raw_affiliation_strings":["Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland","State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002576056","display_name":"Janne Heiskanen","orcid":"https://orcid.org/0000-0002-3899-8860"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Janne Heiskanen","raw_affiliation_strings":["Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":"https://orcid.org/0000-0002-3899-8860","affiliations":[{"raw_affiliation_string":"Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"Department of Geosciences and Geography, the Faculty of Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfei Zhong","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065344174"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":2.7684,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91232045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"54","issue":"10","first_page":"5781","last_page":"5794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"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":0.9957000017166138,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8438365459442139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6903291344642639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6779614090919495},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6744207739830017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5318130254745483},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5015172958374023},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.49306365847587585},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4811885952949524},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.41352778673171997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38666146993637085},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2740919291973114},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.11371627449989319}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8438365459442139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6903291344642639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6779614090919495},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6744207739830017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5318130254745483},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5015172958374023},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.49306365847587585},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4811885952949524},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.41352778673171997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38666146993637085},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2740919291973114},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.11371627449989319}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2024.3412270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3412270","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:38990744","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38990744","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 cybernetics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tcyb.2024.3412270","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tcyb.2024.3412270","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G163733118","display_name":null,"funder_award_id":"2022YFB3903502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1734910864","display_name":null,"funder_award_id":"42211530032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4093505136","display_name":null,"funder_award_id":"42325105","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5430334187","display_name":null,"funder_award_id":"349556","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1967231175","https://openalex.org/W1994040806","https://openalex.org/W2039596145","https://openalex.org/W2129891925","https://openalex.org/W2133665775","https://openalex.org/W2219841864","https://openalex.org/W2414009677","https://openalex.org/W2520430674","https://openalex.org/W2562637781","https://openalex.org/W2581851997","https://openalex.org/W2584009249","https://openalex.org/W2585357012","https://openalex.org/W2601517469","https://openalex.org/W2753754894","https://openalex.org/W2782517596","https://openalex.org/W2790528326","https://openalex.org/W2793146153","https://openalex.org/W2806155925","https://openalex.org/W2887063112","https://openalex.org/W2887280559","https://openalex.org/W2900282895","https://openalex.org/W2914736033","https://openalex.org/W2954563178","https://openalex.org/W2963470893","https://openalex.org/W2963667985","https://openalex.org/W2963684088","https://openalex.org/W2970842755","https://openalex.org/W2972301798","https://openalex.org/W2996620758","https://openalex.org/W2998841120","https://openalex.org/W3008839601","https://openalex.org/W3013064625","https://openalex.org/W3017506038","https://openalex.org/W3021083191","https://openalex.org/W3034359211","https://openalex.org/W3035383808","https://openalex.org/W3042671644","https://openalex.org/W3044916064","https://openalex.org/W3090929676","https://openalex.org/W3098435832","https://openalex.org/W3107702424","https://openalex.org/W3118496544","https://openalex.org/W3129015415","https://openalex.org/W3133237820","https://openalex.org/W3136824855","https://openalex.org/W3186573928","https://openalex.org/W3204653398","https://openalex.org/W3205433626","https://openalex.org/W4206151466","https://openalex.org/W4206319089","https://openalex.org/W4210896693","https://openalex.org/W4210929197","https://openalex.org/W4214543554","https://openalex.org/W4282929851","https://openalex.org/W4285059972","https://openalex.org/W4304481541","https://openalex.org/W4306729205","https://openalex.org/W4307772628","https://openalex.org/W4312909115","https://openalex.org/W4319996239","https://openalex.org/W4382457956","https://openalex.org/W4384819934","https://openalex.org/W4386918832","https://openalex.org/W4391559302","https://openalex.org/W4392543750","https://openalex.org/W4392940549","https://openalex.org/W6639480849","https://openalex.org/W6749271710"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W4308619659","https://openalex.org/W3213069564","https://openalex.org/W4378421684","https://openalex.org/W4294203825","https://openalex.org/W1505616161"],"abstract_inverted_index":{"Real":[0],"hyperspectral":[1,25,58,115,174,247],"images":[2],"(HSIs)":[3],"are":[4,120,127,139],"ineluctably":[5],"contaminated":[6],"by":[7,89],"diverse":[8],"types":[9],"of":[10,47,206],"noise,":[11],"which":[12],"severely":[13],"limits":[14],"the":[15,33,45,91,123,134,137,148,154,183,195,207,214,245],"image":[16,39,76],"usability.":[17],"Recently,":[18],"transfer":[19],"learning":[20,56,73,90,118,131,177],"has":[21],"been":[22],"introduced":[23,121],"in":[24,122,169,182],"denoising":[26,59,235,240],"networks":[27],"to":[28,43,64,85,159,186],"improve":[29],"model":[30],"generalizability.":[31],"However,":[32],"current":[34],"frameworks":[35],"often":[36],"rely":[37],"on":[38,153,216],"priors":[40,93,197],"and":[41,81,94,113,126,136,164,190,204,222,230],"struggle":[42],"retain":[44],"fidelity":[46],"background":[48,96,166],"information.":[49],"In":[50],"this":[51,103],"article,":[52],"an":[53,170],"unsupervised":[54,171],"adaptation":[55],"(UAL)-based":[57],"network":[60],"(UALHDN)":[61],"is":[62,71,150,179],"proposed":[63,208],"address":[65],"these":[66],"issues.":[67],"The":[68,202,233],"core":[69],"idea":[70],"first":[72],"a":[74,86,105,109,114,160,165,238],"general":[75],"prior":[77],"for":[78,199],"most":[79],"HSIs,":[80],"then":[82],"adapting":[83],"it":[84],"real":[87,155,200,217],"HSI":[88,145,157],"deep":[92,196],"maintaining":[95],"consistency,":[97],"without":[98],"introducing":[99],"hand-crafted":[100],"priors.":[101],"Following":[102],"notion,":[104],"spatial-spectral":[106,161],"residual":[107],"denoiser,":[108],"global":[110],"modeling":[111],"discriminator,":[112],"discrete":[116,175],"representation":[117,176],"scheme":[119,178,236],"UALHDN":[124,209],"framework,":[125],"employed":[128],"across":[129],"two":[130],"stages.":[132],"First,":[133],"denoiser":[135,149],"discriminator":[138],"pretrained":[140],"using":[141],"synthetic":[142],"noisy-clean":[143],"ground-based":[144],"pairs.":[146],"Subsequently,":[147],"further":[151],"fine-tuned":[152],"multiplatform":[156],"according":[158],"consistency":[162,167],"constraint":[163],"loss":[168],"manner.":[172],"A":[173],"also":[180],"designed":[181],"fine-tuning":[184],"stage":[185],"extract":[187],"semantic":[188],"features":[189],"estimate":[191],"noise-free":[192],"components,":[193],"exploring":[194],"specific":[198],"HSIs.":[201],"applicability":[203],"generalizability":[205],"framework":[210],"were":[211],"verified":[212],"through":[213],"experiments":[215],"HSIs":[218],"from":[219],"various":[220],"platforms":[221],"sensors,":[223],"including":[224],"unmanned":[225],"aerial":[226],"vehicle-borne,":[227],"airborne,":[228],"spaceborne,":[229],"Martian":[231],"datasets.":[232],"UAL":[234],"shows":[237],"superior":[239],"ability":[241],"when":[242],"compared":[243],"with":[244],"state-of-the-art":[246],"denoisers.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
