{"id":"https://openalex.org/W3164518233","doi":"https://doi.org/10.1109/lgrs.2021.3112038","title":"SSCAN: A Spatial\u2013Spectral Cross Attention Network for Hyperspectral Image Denoising","display_name":"SSCAN: A Spatial\u2013Spectral Cross Attention Network for Hyperspectral Image Denoising","publication_year":2021,"publication_date":"2021-09-23","ids":{"openalex":"https://openalex.org/W3164518233","doi":"https://doi.org/10.1109/lgrs.2021.3112038","mag":"3164518233"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2021.3112038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3112038","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2105.10949.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhiqiang Wang","orcid":"https://orcid.org/0000-0002-0901-7381"},"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":"Zhiqiang Wang","raw_affiliation_strings":["School of Remoter Sensing and Information Engineering, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-0901-7381","affiliations":[{"raw_affiliation_string":"School of Remoter Sensing and Information Engineering, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070629154","display_name":"Zhenfeng Shao","orcid":"https://orcid.org/0000-0003-4587-6826"},"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":"Zhenfeng Shao","raw_affiliation_strings":["State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-4587-6826","affiliations":[{"raw_affiliation_string":"State Key Laboratory for 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":null,"display_name":"Xiao Huang","orcid":"https://orcid.org/0000-0002-4323-382X"},"institutions":[{"id":"https://openalex.org/I78715868","display_name":"University of Arkansas at Fayetteville","ror":"https://ror.org/05jbt9m15","country_code":"US","type":"education","lineage":["https://openalex.org/I78715868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Huang","raw_affiliation_strings":["Department of Geosciences, University of Arkansas, Fayetteville, AR, USA"],"raw_orcid":"https://orcid.org/0000-0002-4323-382X","affiliations":[{"raw_affiliation_string":"Department of Geosciences, University of Arkansas, Fayetteville, AR, USA","institution_ids":["https://openalex.org/I78715868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631345","display_name":"Jiaming Wang","orcid":"https://orcid.org/0000-0001-8144-5842"},"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":"Jiaming Wang","raw_affiliation_strings":["State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8144-5842","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089404454","display_name":"Tao L\u00fc","orcid":"https://orcid.org/0000-0001-8117-2012"},"institutions":[{"id":"https://openalex.org/I91125648","display_name":"Wuhan Institute of Technology","ror":"https://ror.org/04jcykh16","country_code":"CN","type":"education","lineage":["https://openalex.org/I91125648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lu","raw_affiliation_strings":["School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8117-2012","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, China","institution_ids":["https://openalex.org/I91125648"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05020705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"1","last_page":"5"},"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":0.9998000264167786,"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":0.9988999962806702,"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":0.8838682174682617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7332535982131958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7091725468635559},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6708098649978638},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.579074501991272},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5786651372909546},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5549032092094421},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5519907474517822},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.518629252910614},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5018761157989502},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4331441819667816},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.372356116771698},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15538686513900757},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14451560378074646},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12886935472488403},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06599661707878113}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8838682174682617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7332535982131958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091725468635559},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6708098649978638},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.579074501991272},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5786651372909546},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5549032092094421},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5519907474517822},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.518629252910614},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5018761157989502},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4331441819667816},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.372356116771698},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15538686513900757},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14451560378074646},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12886935472488403},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06599661707878113},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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":3,"locations":[{"id":"doi:10.1109/lgrs.2021.3112038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2021.3112038","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"mag:3164518233","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2105.10949.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2105.10949","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2105.10949","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:3164518233","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2105.10949.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4252305548","display_name":null,"funder_award_id":"41771454","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6366554838","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u9065\u611f\u56fe\u50cf\u591a\u5c42\u6b21\u7279\u5f81\u8868\u8fbe\u53ca\u68c0\u7d22\u7814\u7a76","funder_award_id":"41771452","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8524363716","display_name":null,"funder_award_id":"42090010","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W817971873","https://openalex.org/W1522301498","https://openalex.org/W1906770428","https://openalex.org/W1974438823","https://openalex.org/W1994040806","https://openalex.org/W2023303051","https://openalex.org/W2037461746","https://openalex.org/W2056370875","https://openalex.org/W2097073572","https://openalex.org/W2103559027","https://openalex.org/W2127495569","https://openalex.org/W2133665775","https://openalex.org/W2163886442","https://openalex.org/W2171520281","https://openalex.org/W2194818953","https://openalex.org/W2508457857","https://openalex.org/W2609880332","https://openalex.org/W2614326984","https://openalex.org/W2753754894","https://openalex.org/W2782420567","https://openalex.org/W2782517596","https://openalex.org/W2793218933","https://openalex.org/W2806155925","https://openalex.org/W2914736033","https://openalex.org/W2964125708","https://openalex.org/W2980079746","https://openalex.org/W2981333183","https://openalex.org/W2983315964","https://openalex.org/W2984522085","https://openalex.org/W3025440211","https://openalex.org/W3034598912","https://openalex.org/W3043181422","https://openalex.org/W3102745911","https://openalex.org/W3107561632","https://openalex.org/W3193296307","https://openalex.org/W6623043969","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3015299897","https://openalex.org/W2903684270","https://openalex.org/W3080372189","https://openalex.org/W3007161099","https://openalex.org/W3015466860","https://openalex.org/W3201640799","https://openalex.org/W3094247929","https://openalex.org/W3090929676","https://openalex.org/W3012470401","https://openalex.org/W2949280132","https://openalex.org/W2242097848","https://openalex.org/W3090412929","https://openalex.org/W3034863454","https://openalex.org/W2984489834","https://openalex.org/W2983315964","https://openalex.org/W3182043338","https://openalex.org/W2625734031","https://openalex.org/W3091030342","https://openalex.org/W2974401107","https://openalex.org/W1668078344"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"have":[3,36],"been":[4],"widely":[5],"used":[6],"in":[7,40,68,133],"a":[8,31,76,97,101,120],"variety":[9],"of":[10],"applications":[11],"thanks":[12],"to":[13,21,50,59,105,113,125,145],"the":[14,52,128,154],"rich":[15],"spectral":[16,56,63,131],"information":[17,132],"they":[18],"are":[19],"able":[20],"provide.":[22],"Among":[23],"all":[24],"HSI":[25,28,78,160],"processing":[26],"tasks,":[27],"denoising":[29,44,79,161],"is":[30],"crucial":[32],"step.":[33],"Recent":[34],"years":[35],"seen":[37],"great":[38],"progress":[39],"deep":[41],"learning-based":[42],"image":[43],"methods.":[45],"However,":[46],"existing":[47],"efforts":[48],"tend":[49],"ignore":[51],"correlations":[53],"between":[54],"adjacent":[55],"bands,":[57],"leading":[58],"problems":[60],"such":[61],"as":[62],"distortion":[64],"and":[65,91,130],"blurred":[66],"edges":[67],"denoised":[69],"results.":[70],"In":[71,135],"this":[72],"study,":[73],"we":[74,95,137],"propose":[75,119],"novel":[77],"network,":[80],"termed":[81],"spectral\u2013spatial":[82,121],"cross":[83],"attention":[84,92,103,112,122],"network":[85],"(SSCAN),":[86],"that":[87,153],"combines":[88],"group":[89,98],"convolutions":[90],"modules.":[93],"Specifically,":[94],"use":[96],"convolution":[99],"with":[100,142],"spatial":[102,129],"module":[104],"facilitate":[106],"feature":[107],"extraction":[108],"by":[109],"directing":[110],"models\u2019":[111],"bandwise":[114],"important":[115],"features.":[116],"We":[117],"also":[118],"block":[123],"(SSAB)":[124],"effectively":[126],"exploit":[127],"HSIs.":[134],"addition,":[136],"adopt":[138],"residual":[139],"learning":[140],"operations":[141],"skip":[143],"connections":[144],"ensure":[146],"training":[147],"stability.":[148],"The":[149],"experimental":[150],"results":[151],"indicate":[152],"proposed":[155],"SSCAN":[156],"outperforms":[157],"several":[158],"state-of-the-art":[159],"algorithms.":[162]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}