{"id":"https://openalex.org/W3205614705","doi":"https://doi.org/10.1109/igarss47720.2021.9553548","title":"Hyperspectral Image Denoising Based on Multi-Stream Denoising Network","display_name":"Hyperspectral Image Denoising Based on Multi-Stream Denoising Network","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3205614705","doi":"https://doi.org/10.1109/igarss47720.2021.9553548","mag":"3205614705"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9553548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5100625179","display_name":"Yan Gao","orcid":"https://orcid.org/0009-0006-6216-3165"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China","Institute of Marine Development, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Institute of Marine Development, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046668357","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1825-328X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China","Institute of Marine Development, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Institute of Marine Development, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["College of Information Science and Engineering, Ocean University of China","Institute of Marine Development, Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]},{"raw_affiliation_string":"Institute of Marine Development, Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2158","last_page":"2161"},"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":0.9987999796867371,"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":0.9950000047683716,"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/noise-reduction","display_name":"Noise reduction","score":0.843206524848938},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.822273850440979},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6864392161369324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6770424842834473},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6768560409545898},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6567953824996948},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5400389432907104},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.5161827206611633},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.46683967113494873},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.46597525477409363},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4310793876647949},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.33752140402793884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3107855021953583},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.10427644848823547}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.843206524848938},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.822273850440979},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864392161369324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6770424842834473},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6768560409545898},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6567953824996948},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5400389432907104},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.5161827206611633},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.46683967113494873},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.46597525477409363},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4310793876647949},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.33752140402793884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3107855021953583},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.10427644848823547},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"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":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9553548","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9553548","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G2543830840","display_name":null,"funder_award_id":"2018AAA0100602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7467610033","display_name":null,"funder_award_id":"2019GHY112048","funder_id":"https://openalex.org/F4320333596","funder_display_name":"Key Technology Research and Development Program of Shandong"},{"id":"https://openalex.org/G8025905427","display_name":null,"funder_award_id":"U1706218","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/F4320333596","display_name":"Key Technology Research and Development Program of Shandong","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1944540851","https://openalex.org/W1974438823","https://openalex.org/W1994040806","https://openalex.org/W2039596145","https://openalex.org/W2048695508","https://openalex.org/W2053514113","https://openalex.org/W2056370875","https://openalex.org/W2095906131","https://openalex.org/W2560023338","https://openalex.org/W2764207251","https://openalex.org/W2963725279","https://openalex.org/W3104725225"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W2362249450","https://openalex.org/W2810018092","https://openalex.org/W2791234060","https://openalex.org/W2360732716","https://openalex.org/W2062514975"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"have":[3],"been":[4],"widely":[5],"applied":[6],"in":[7],"many":[8],"fields,":[9],"such":[10],"as":[11],"military,":[12],"agriculture,":[13],"and":[14,35,63],"environment":[15],"monitoring.":[16],"Nevertheless,":[17],"HSIs":[18,48],"commonly":[19],"suffer":[20],"from":[21,81],"various":[22],"types":[23],"of":[24,58,108,112],"noise":[25,60,68,80,102],"during":[26],"acquisition.":[27],"Therefore,":[28],"denoising":[29,45,64,86,94],"is":[30,75,88,106],"critical":[31],"for":[32,47],"HSI":[33,113,118],"analysis":[34],"applications.":[36],"In":[37,66],"this":[38],"paper,":[39],"we":[40],"propose":[41],"a":[42,71],"novel":[43],"blind":[44],"method":[46,124],"based":[49],"on":[50,117],"Multi-Stream":[51],"Denoising":[52],"Network":[53],"(MSDNet).":[54],"Our":[55],"network":[56],"consists":[57],"the":[59,67,79,85,92,110,122],"estimation":[61,69],"subnetwork":[62,87],"subnetwork.":[65],"subnetwork,":[70],"multiscale":[72],"fusion":[73],"module":[74],"designed":[76],"to":[77,90],"capture":[78],"different":[82],"scales.":[83],"Then,":[84],"utilized":[89],"obtain":[91,100],"final":[93],"image.":[95],"The":[96],"proposed":[97,123],"MSDNet":[98],"can":[99],"robust":[101],"level":[103],"estimation,":[104],"which":[105],"capable":[107],"improving":[109],"performance":[111],"denoising.":[114],"Extensive":[115],"experiments":[116],"dataset":[119],"demonstrate":[120],"that":[121],"outperforms":[125],"four":[126],"closely":[127],"related":[128],"methods.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}