{"id":"https://openalex.org/W2899885135","doi":"https://doi.org/10.1109/tgrs.2018.2875304","title":"Hyperspectral Image Denoising by Fusing the Selected Related Bands","display_name":"Hyperspectral Image Denoising by Fusing the Selected Related Bands","publication_year":2018,"publication_date":"2018-11-08","ids":{"openalex":"https://openalex.org/W2899885135","doi":"https://doi.org/10.1109/tgrs.2018.2875304","mag":"2899885135"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2018.2875304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2875304","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5007883693","display_name":"Xiangtao Zheng","orcid":"https://orcid.org/0000-0002-8398-6324"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangtao Zheng","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8398-6324","affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334733","display_name":"Yuan Yuan","orcid":"https://orcid.org/0000-0001-7964-6514"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Yuan","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018824735","display_name":"Xiaoqiang Lu","orcid":"https://orcid.org/0000-0002-7037-5188"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210144662","display_name":"Xi'an Institute of Optics and Precision Mechanics","ror":"https://ror.org/0444j5556","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqiang Lu","raw_affiliation_strings":["Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-7037-5188","affiliations":[{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]},{"raw_affiliation_string":"Center for OPTical IMagery Analysis and Learning, State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210144662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2853,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.93056106,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"57","issue":"5","first_page":"2596","last_page":"2609"},"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":0.9990000128746033,"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":0.9976000189781189,"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":0.8945831060409546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7424335479736328},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7219555377960205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6194946765899658},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.602263331413269},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.5666345357894897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.530498743057251},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5147257447242737},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4915634095668793},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.41698792576789856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30520832538604736},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11026975512504578}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8945831060409546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7424335479736328},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7219555377960205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194946765899658},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.602263331413269},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5666345357894897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.530498743057251},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5147257447242737},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4915634095668793},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41698792576789856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30520832538604736},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11026975512504578}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2018.2875304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2018.2875304","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1265625559","display_name":null,"funder_award_id":"61632081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2926447122","display_name":null,"funder_award_id":"QYZDB-SSW-JSC015","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G3696607175","display_name":null,"funder_award_id":"SKLST2017010","funder_id":"https://openalex.org/F4320335635","funder_display_name":"State Key Laboratory of Transient Optics and Photonics"},{"id":"https://openalex.org/G3810805587","display_name":null,"funder_award_id":"61806193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G583943750","display_name":"\u591a\u5206\u8fa8\u7387\u76f8\u673a\u53ca\u56fe\u50cf\u8d85\u5206\u8fa8\u7387\u6280\u672f\u7814\u7a76","funder_award_id":"61472413","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7869768529","display_name":"\u9762\u5411\u5bf9\u8c61\u7684\u9ad8\u5149\u8c31\u5f02\u5e38\u68c0\u6d4b","funder_award_id":"61772510","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/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335635","display_name":"State Key Laboratory of Transient Optics and Photonics","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1592815895","https://openalex.org/W1928626817","https://openalex.org/W1974438823","https://openalex.org/W1980849288","https://openalex.org/W1985242206","https://openalex.org/W1995333990","https://openalex.org/W2000215628","https://openalex.org/W2005871861","https://openalex.org/W2017360846","https://openalex.org/W2021995444","https://openalex.org/W2033849598","https://openalex.org/W2035128422","https://openalex.org/W2047029347","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2063220925","https://openalex.org/W2095906131","https://openalex.org/W2097073572","https://openalex.org/W2102166818","https://openalex.org/W2133801219","https://openalex.org/W2140702875","https://openalex.org/W2149343952","https://openalex.org/W2153663612","https://openalex.org/W2171125155","https://openalex.org/W2171350553","https://openalex.org/W2171520281","https://openalex.org/W2198155329","https://openalex.org/W2292477969","https://openalex.org/W2296616053","https://openalex.org/W2320738207","https://openalex.org/W2343745409","https://openalex.org/W2464748116","https://openalex.org/W2510154752","https://openalex.org/W2530006000","https://openalex.org/W2539781702","https://openalex.org/W2571192787","https://openalex.org/W2585357012","https://openalex.org/W2588000623","https://openalex.org/W2600941572","https://openalex.org/W2613039673","https://openalex.org/W2620858446","https://openalex.org/W2719511702","https://openalex.org/W2724686744","https://openalex.org/W2740976805","https://openalex.org/W2753754894","https://openalex.org/W2754507318","https://openalex.org/W2772147448","https://openalex.org/W2773415061","https://openalex.org/W2779054585","https://openalex.org/W3100245404","https://openalex.org/W3124270737"],"related_works":["https://openalex.org/W1982418987","https://openalex.org/W1978077614","https://openalex.org/W4327563507","https://openalex.org/W2603494857","https://openalex.org/W2024377932","https://openalex.org/W2799746630","https://openalex.org/W4310079726","https://openalex.org/W4390582117","https://openalex.org/W2889956472","https://openalex.org/W3137839769"],"abstract_inverted_index":{"Hyperspectral":[0],"images":[1],"(HSIs)":[2],"convey":[3],"more":[4],"useful":[5],"information":[6,49],"than":[7],"RGB":[8],"or":[9,34],"gray":[10],"images,":[11],"which":[12],"are":[13,25,82,89,120,135],"widely":[14],"used":[15],"in":[16,79,167],"many":[17,38],"remote":[18],"sensing":[19],"tasks.":[20],"In":[21,74],"real":[22],"scenarios,":[23],"HSIs":[24],"inevitably":[26],"corrupted":[27,90],"by":[28,91,107,123,151],"noise":[29,72,77,114],"because":[30],"of":[31],"sensors'":[32],"imperfectness":[33],"atmospheric":[35],"influence.":[36],"Recently,":[37],"HSI":[39,59,102],"denoising":[40,103,173],"methods":[41,56],"have":[42],"been":[43],"proposed":[44,106,162],"to":[45,138],"utilize":[46],"the":[47,58,65,70,76,94,109,139,144,153,161],"interband":[48],"between":[50],"different":[51,66,80,113],"spectral":[52,67],"bands.":[53,97,127,142,156],"However,":[54],"these":[55],"regard":[57],"as":[60],"a":[61],"whole":[62],"and":[63,112],"treat":[64],"bands":[68,81,88,119,134,147],"with":[69,169],"same":[71],"level.":[73],"fact,":[75],"levels":[78],"different.":[83],"Especially,":[84],"only":[85],"few":[86],"certain":[87],"noise,":[92],"named":[93],"target":[95,117,140,145],"noised":[96,118,141,146],"Under":[98],"this":[99],"circumstance,":[100],"an":[101],"method":[104,163],"is":[105],"considering":[108],"band":[110],"relationship":[111],"levels.":[115],"The":[116],"adaptively":[121],"denoised":[122,150],"fusing":[124,152],"some":[125,129],"selected":[126,136,154],"Specifically,":[128],"related":[130,155],"but":[131],"quality":[132],"superior":[133],"according":[137],"Then,":[143],"can":[148],"be":[149],"Experimental":[157],"results":[158],"show":[159],"that":[160],"achieves":[164],"considerable":[165],"performances":[166],"comparison":[168],"several":[170],"state-of-the-art":[171],"hyperspectral":[172],"methods.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}