{"id":"https://openalex.org/W4307772935","doi":"https://doi.org/10.1109/tnnls.2022.3215751","title":"Hider: A Hyperspectral Image Denoising Transformer With Spatial\u2013Spectral Constraints for Hybrid Noise Removal","display_name":"Hider: A Hyperspectral Image Denoising Transformer With Spatial\u2013Spectral Constraints for Hybrid Noise Removal","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4307772935","doi":"https://doi.org/10.1109/tnnls.2022.3215751","pmid":"https://pubmed.ncbi.nlm.nih.gov/36315530"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3215751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3215751","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/A5100332203","display_name":"Hongyu Chen","orcid":"https://orcid.org/0000-0002-5329-8854"},"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":"Hongyu Chen","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5329-8854","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005906594","display_name":"Guangyi Yang","orcid":"https://orcid.org/0000-0002-1580-0188"},"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":"Guangyi Yang","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-1580-0188","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385579","display_name":"Hongyan Zhang","orcid":"https://orcid.org/0000-0002-7894-5755"},"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":"Hongyan Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7894-5755","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":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7749,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97290055,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"7","first_page":"8797","last_page":"8811"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9889000058174133,"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":0.8475627303123474},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6085976958274841},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.5371130108833313},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45219099521636963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4482800364494324},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4423466622829437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4111118018627167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39094534516334534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.363888144493103},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3438926041126251},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15938729047775269},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.0736386775970459}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8475627303123474},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6085976958274841},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.5371130108833313},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45219099521636963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4482800364494324},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4423466622829437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4111118018627167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39094534516334534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.363888144493103},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3438926041126251},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15938729047775269},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0736386775970459},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3215751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3215751","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:36315530","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36315530","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":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2918223366","display_name":null,"funder_award_id":"2020CFA053","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G5377590583","display_name":null,"funder_award_id":"42071322","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8145771212","display_name":null,"funder_award_id":"61871298","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/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4312627788","https://openalex.org/W2353444452","https://openalex.org/W2001438600","https://openalex.org/W2499707420"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"qualities":[3],"are":[4],"limited":[5,65],"by":[6],"a":[7,93,105],"mixture":[8],"of":[9,52,152,159,198],"Gaussian":[10],"noise,":[11,13],"impulse":[12],"stripes,":[14],"and":[15,57,60,68,164,181,196,204,213,223],"deadlines":[16],"during":[17],"the":[18,46,50,61,112,134,142,148,157,169,185,194],"sensor":[19],"imaging":[20],"process,":[21],"resulting":[22],"in":[23,73,121],"weak":[24],"application":[25],"performance.":[26],"To":[27,192],"enhance":[28],"HSI":[29,83,89,190],"qualities,":[30],"methods":[31,54],"based":[32],"on":[33,168,210],"convolutional":[34],"neural":[35],"networks":[36],"have":[37,64],"been":[38],"successively":[39],"applied":[40],"to":[41,118,140,146,175],"restore":[42],"clean":[43],"data":[44],"from":[45],"observed":[47],"data.":[48],"However,":[49],"architecture":[51,97],"these":[53],"lacks":[55],"spectral":[56,108,113,123,187],"spatial":[58,144,154,165,178],"constraints,":[59],"convolution":[62],"operators":[63],"receptive":[66],"fields":[67],"inflexible":[69],"model":[70],"inferences.":[71],"Thus,":[72],"this":[74],"study,":[75],"we":[76,200],"propose":[77],"an":[78,126],"efficient":[79],"end-to-end":[80],"transformer,":[81,170],"named":[82],"denoising":[84,208],"transformer":[85,96,114,136],"(Hider),":[86],"for":[87,100,189],"mixed":[88],"noise":[90],"removal.":[91],"First,":[92],"U-shaped":[94],"3-D":[95],"is":[98,116,138],"built":[99],"multiscale":[101],"feature":[102],"aggregation.":[103],"Second,":[104],"multihead":[106],"global":[107,153,160],"attention":[109,131],"module":[110,132],"within":[111,133],"block":[115,137],"designed":[117],"excavate":[119],"information":[120,180],"different":[122],"patterns.":[124],"Finally,":[125],"additional":[127],"locally":[128],"enhanced":[129],"cross-spatial":[130],"spatial-spectral":[135],"constructed":[139],"build":[141],"long-range":[143,177],"relationship":[145],"avoid":[147],"high":[149],"computational":[150],"complexity":[151],"self-attention.":[155],"Through":[156],"imposition":[158],"correlations":[161],"along":[162],"spectrum":[163],"self-similarity":[166],"constraints":[167],"our":[171],"proposed":[172],"Hider":[173,218],"aims":[174],"capture":[176],"contextual":[179],"cluster":[182],"objects":[183],"with":[184,227],"same":[186],"pattern":[188],"denoising.":[191],"verify":[193],"effectiveness":[195],"efficiency":[197],"Hider,":[199],"conducted":[201],"extensive":[202],"simulated":[203,212],"real":[205],"experiments.":[206],"The":[207],"results":[209],"both":[211],"real-world":[214],"datasets":[215],"show":[216],"that":[217],"achieves":[219],"superior":[220],"evaluation":[221],"metrics":[222],"visual":[224],"assessments":[225],"compared":[226],"other":[228],"state-of-the-art":[229],"methods.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":18}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
