{"id":"https://openalex.org/W4296104906","doi":"https://doi.org/10.3390/rs14184598","title":"TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising","display_name":"TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising","publication_year":2022,"publication_date":"2022-09-14","ids":{"openalex":"https://openalex.org/W4296104906","doi":"https://doi.org/10.3390/rs14184598"},"language":"en","primary_location":{"id":"doi:10.3390/rs14184598","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184598","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4598/pdf?version=1663839960","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/18/4598/pdf?version=1663839960","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041482301","display_name":"Li Pang","orcid":"https://orcid.org/0000-0003-2079-3354"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Pang","raw_affiliation_strings":["School of Automation, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Automation, Xi'an Jiaotong University, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Automation, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100859141","display_name":"Weizhen Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhen Gu","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin 300350, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin 300350, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028103486","display_name":"Xiangyong Cao","orcid":"https://orcid.org/0000-0001-7912-3457"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyong Cao","raw_affiliation_strings":["School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi\u2019an Jiaotong University, Xi\u2019an 710049, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028103486"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.8053,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97265475,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"18","first_page":"4598","last_page":"4598"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9997000098228455,"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/T10689","display_name":"Remote-Sensing Image Classification","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365803122520447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6465809345245361},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6355416774749756},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5989370346069336},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.528819739818573},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5032956004142761},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49945712089538574},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.434158593416214},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41497087478637695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15298762917518616}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365803122520447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6465809345245361},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6355416774749756},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5989370346069336},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.528819739818573},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5032956004142761},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49945712089538574},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.434158593416214},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41497087478637695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15298762917518616},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14184598","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184598","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4598/pdf?version=1663839960","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:426b6d6a7d974a688988333514a230f3","is_oa":true,"landing_page_url":"https://doaj.org/article/426b6d6a7d974a688988333514a230f3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 18, p 4598 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/18/4598/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14184598","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 18; Pages: 4598","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14184598","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14184598","pdf_url":"https://www.mdpi.com/2072-4292/14/18/4598/pdf?version=1663839960","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2671423882","display_name":null,"funder_award_id":"61906151","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3235401080","display_name":null,"funder_award_id":"62037001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3969212899","display_name":null,"funder_award_id":"IRT_17R86","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4373721810","display_name":null,"funder_award_id":"20JX04Y","funder_id":"https://openalex.org/F4320321169","funder_display_name":"Xi\u2019an Jiaotong University"},{"id":"https://openalex.org/G5817505303","display_name":null,"funder_award_id":"62272375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5853313636","display_name":null,"funder_award_id":"Knowledge","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6387986177","display_name":null,"funder_award_id":"61721002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6393000781","display_name":null,"funder_award_id":"62050194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8679641091","display_name":null,"funder_award_id":"6172100","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/F4320321169","display_name":"Xi\u2019an Jiaotong University","ror":"https://ror.org/017zhmm22"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296104906.pdf","grobid_xml":"https://content.openalex.org/works/W4296104906.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W73112891","https://openalex.org/W1522734439","https://openalex.org/W1677182931","https://openalex.org/W1944540851","https://openalex.org/W1966580635","https://openalex.org/W1971176377","https://openalex.org/W1974438823","https://openalex.org/W1983364832","https://openalex.org/W1994040806","https://openalex.org/W2008847349","https://openalex.org/W2027898483","https://openalex.org/W2051968191","https://openalex.org/W2056370875","https://openalex.org/W2095343758","https://openalex.org/W2095906131","https://openalex.org/W2133665775","https://openalex.org/W2163753106","https://openalex.org/W2316226477","https://openalex.org/W2462831000","https://openalex.org/W2464748116","https://openalex.org/W2478493250","https://openalex.org/W2585357012","https://openalex.org/W2747865121","https://openalex.org/W2761385227","https://openalex.org/W2806155925","https://openalex.org/W2808979303","https://openalex.org/W2914736033","https://openalex.org/W2955058313","https://openalex.org/W2963925437","https://openalex.org/W2964125708","https://openalex.org/W2964179170","https://openalex.org/W3013064625","https://openalex.org/W3098435832","https://openalex.org/W3138516171","https://openalex.org/W3154593456","https://openalex.org/W3157528469","https://openalex.org/W3160694286","https://openalex.org/W3166368936","https://openalex.org/W3166513219","https://openalex.org/W3179869055","https://openalex.org/W3207918547","https://openalex.org/W3211474784","https://openalex.org/W3213665720","https://openalex.org/W4214636423","https://openalex.org/W4240249948","https://openalex.org/W4288765755","https://openalex.org/W4312820606","https://openalex.org/W6631190155","https://openalex.org/W6677703657","https://openalex.org/W6687483927","https://openalex.org/W6739901393","https://openalex.org/W6793595854","https://openalex.org/W6794345597","https://openalex.org/W6795892075","https://openalex.org/W6796698253"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2953234277","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2626256601","https://openalex.org/W2044184146","https://openalex.org/W4401096132"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,51,79,119],"new":[3],"deep":[4],"neural":[5,12],"network":[6,13,23,98],"termed":[7],"TRQ3DNet":[8],"which":[9],"combines":[10],"convolutional":[11],"(CNN)":[14],"and":[15,37,53,93,104,136],"transformer":[16],"for":[17,125],"hyperspectral":[18],"image":[19,129],"(HSI)":[20],"denoising.":[21],"The":[22,73,84],"consists":[24],"of":[25,78,81,143,152,161],"two":[26,115],"branches.":[27],"One":[28],"is":[29,64,76],"built":[30],"by":[31,113],"3D":[32,43],"quasi-recurrent":[33,38,61],"blocks,":[34],"including":[35],"convolution":[36,44],"pooling":[39,62],"operation.":[40],"Specifically,":[41],"the":[42,47,60,71,94,102,110,114,128,141,150,158],"can":[45],"extract":[46],"spatial":[48,106],"correlation":[49,55,69],"within":[50],"band,":[52],"spectral":[54],"between":[56],"different":[57],"bands,":[58],"while":[59],"operation":[63],"able":[65],"to":[66,100],"exploit":[67,101],"global":[68,103],"along":[70],"spectrum.":[72],"other":[74,170],"branch":[75],"composed":[77],"series":[80],"Uformer":[82,85],"blocks.":[83],"block":[86],"uses":[87],"window-based":[88],"multi-head":[89],"self-attention":[90],"(W-MSA)":[91],"mechanism":[92],"locally":[95],"enhanced":[96],"feed-forward":[97],"(LeFF)":[99],"local":[105],"features.":[107],"To":[108],"fuse":[109],"features":[111],"extracted":[112],"branches,":[116],"we":[117],"develop":[118],"bidirectional":[120],"integration":[121],"bridge":[122],"(BI":[123],"bridge)":[124],"better":[126],"preserving":[127],"feature":[130],"information.":[131],"Experimental":[132],"results":[133],"on":[134],"synthetic":[135],"real":[137],"HSI":[138],"data":[139],"show":[140],"superiority":[142],"our":[144,162],"proposed":[145],"network.":[146],"For":[147],"example,":[148],"in":[149],"case":[151],"Gaussian":[153],"noise":[154],"with":[155,169],"sigma":[156],"70,":[157],"PSNR":[159],"value":[160],"method":[163],"significantly":[164],"increases":[165],"about":[166],"0.8":[167],"compared":[168],"state-of-the-art":[171],"methods.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2022-09-17T00:00:00"}