{"id":"https://openalex.org/W4312896892","doi":"https://doi.org/10.1109/igarss46834.2022.9883826","title":"Hyperspectral Mixed Noise Reduction Using Two-Stage Cascade Refined Network","display_name":"Hyperspectral Mixed Noise Reduction Using Two-Stage Cascade Refined Network","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312896892","doi":"https://doi.org/10.1109/igarss46834.2022.9883826"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9883826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883826","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5003113155","display_name":"Yinhu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinhu Wu","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696425","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-1082-114X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761789","display_name":"Dongyang Liu","orcid":"https://orcid.org/0000-0003-3342-8356"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyang Liu","raw_affiliation_strings":["Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1213","last_page":"1216"},"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":0.9993000030517578,"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":0.7461172938346863},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7172271609306335},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.7128909826278687},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.6964156031608582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6800839900970459},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6658447980880737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5920482873916626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896623730659485},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5387891530990601},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.5148102641105652},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4170920252799988},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22099485993385315},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09958696365356445}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7461172938346863},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7172271609306335},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.7128909826278687},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.6964156031608582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6800839900970459},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6658447980880737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5920482873916626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896623730659485},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5387891530990601},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.5148102641105652},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4170920252799988},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22099485993385315},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09958696365356445},{"id":"https://openalex.org/C42360764","wikidata":"https://www.wikidata.org/wiki/Q83588","display_name":"Chemical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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/igarss46834.2022.9883826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9883826","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1849479095","display_name":"\u5bbd\u6ce2\u6bb5\u591a\u7ef4\u5ea6\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u5206\u6790\u53ca\u89e3\u8bd1\u65b0\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871150","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":8,"referenced_works":["https://openalex.org/W1994040806","https://openalex.org/W2056370875","https://openalex.org/W2087263574","https://openalex.org/W2520632654","https://openalex.org/W2806155925","https://openalex.org/W2914736033","https://openalex.org/W3098435832","https://openalex.org/W3118496544"],"related_works":["https://openalex.org/W3189878447","https://openalex.org/W3108403339","https://openalex.org/W2162712524","https://openalex.org/W2986378528","https://openalex.org/W3178345791","https://openalex.org/W4287867034","https://openalex.org/W2175872006","https://openalex.org/W1550854977","https://openalex.org/W3005783148","https://openalex.org/W2092661960"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"are":[3,50,58,89],"inevitably":[4],"influenced":[5],"by":[6,91,107],"various":[7],"noise,":[8,11],"including":[9],"Gaussian":[10,53,77],"sparse":[12,79],"noise":[13,54,80,104,115,141,162],"and":[14,22,56,78],"so":[15],"on,":[16],"which":[17],"could":[18],"degrade":[19],"the":[20,43,83,86,102,109,113,122,127,132,135,149,152],"HSIs":[21,32],"limit":[23],"their":[24],"applications":[25],"greatly.":[26],"Deep":[27],"neural":[28],"network":[29,69],"(DNNs)":[30],"based":[31,46,96],"denoising":[33,124],"methods":[34,45,159],"have":[35],"been":[36],"widely":[37],"used":[38],"in":[39,126],"recent":[40],"years.":[41],"However,":[42],"existing":[44],"on":[47,97,145],"deep":[48],"learning":[49],"mainly":[51],"for":[52,59,74,160],"removal,":[55],"few":[57],"mixed":[60,76,161],"noise.":[61],"Accordingly,":[62],"we":[63],"propose":[64],"a":[65,92],"two-stage":[66],"cascade":[67],"refined":[68],"consisting":[70],"of":[71,134,151],"two":[72],"subnetworks":[73],"hyperspectral":[75],"reduction.":[81,142],"In":[82],"first":[84],"stage,":[85],"spatial-spectral":[87],"features":[88,111],"extracted":[90,110],"feature":[93],"extraction":[94],"block":[95],"attentions":[98],"mechanism":[99],"firstly.":[100],"Then":[101],"multi-band":[103,114],"is":[105],"obtained":[106],"feeding":[108],"into":[112],"estimation":[116],"subnetwork":[117,125,137],"with":[118,156],"encoder-decoder":[119],"structure.":[120],"Finally,":[121],"single-band":[123,140],"second":[128],"stage":[129],"further":[130],"refines":[131],"output":[133],"previous":[136],"to":[138],"accomplish":[139],"The":[143],"experiments":[144],"HSI":[146],"show":[147],"that":[148],"superiority":[150],"proposed":[153],"method":[154],"compared":[155],"four":[157],"typical":[158],"removal.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
