{"id":"https://openalex.org/W3129902739","doi":"https://doi.org/10.1109/igarss39084.2020.9324002","title":"Noise Analysis of Hyperspectral Images Captured by Different Sensors","display_name":"Noise Analysis of Hyperspectral Images Captured by Different Sensors","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3129902739","doi":"https://doi.org/10.1109/igarss39084.2020.9324002","mag":"3129902739"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5100379605","display_name":"Shuo Zhang","orcid":"https://orcid.org/0000-0001-8123-8544"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057514965","display_name":"Xudong Kang","orcid":"https://orcid.org/0000-0002-3807-2531"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Kang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707177","display_name":"Yan Mo","orcid":"https://orcid.org/0000-0003-2990-0056"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Mo","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067097659","display_name":"Shutao Li","orcid":"https://orcid.org/0000-0002-0585-9848"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2707","last_page":"2710"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9972000122070312,"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":0.8646314740180969},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7892096042633057},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6704548597335815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5659936666488647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5205865502357483},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5203754305839539},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5026812553405762},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3682013750076294},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15965962409973145}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8646314740180969},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7892096042633057},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6704548597335815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659936666488647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205865502357483},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5203754305839539},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5026812553405762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3682013750076294},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15965962409973145}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2027762821","display_name":null,"funder_award_id":"61890962","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2716665530","display_name":null,"funder_award_id":"2019JJ50036","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G375123066","display_name":null,"funder_award_id":"61520106001","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"},{"id":"https://openalex.org/G7617768234","display_name":null,"funder_award_id":"2018TP1013","funder_id":"https://openalex.org/F4320327663","funder_display_name":"Hunan Key Laboratory of Land and Resources Evaluation and Utilization"},{"id":"https://openalex.org/G8694044906","display_name":null,"funder_award_id":"61601179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320327663","display_name":"Hunan Key Laboratory of Land and Resources Evaluation and Utilization","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W994592074","https://openalex.org/W1971470882","https://openalex.org/W1977066218","https://openalex.org/W2014374676","https://openalex.org/W2054854521","https://openalex.org/W2070424424","https://openalex.org/W2136625467","https://openalex.org/W2142192675","https://openalex.org/W2163886442","https://openalex.org/W2565499339","https://openalex.org/W2971007343","https://openalex.org/W6626122873"],"related_works":["https://openalex.org/W3034789145","https://openalex.org/W4367628250","https://openalex.org/W2327107878","https://openalex.org/W1526760723","https://openalex.org/W2171117985","https://openalex.org/W2012356576","https://openalex.org/W2126659863","https://openalex.org/W3108403339","https://openalex.org/W3112120395","https://openalex.org/W4385670989"],"abstract_inverted_index":{"Noise":[0],"usually":[1],"appears":[2],"in":[3,53,64,74,136],"hyperspectral":[4],"images":[5],"(HSIs),":[6],"and":[7,16,30,48,68,82,97,129],"strongly":[8],"affects":[9],"the":[10,13,35,42,46,61,70,79,83,90,98,115],"performance":[11],"of":[12,24,45,50,72,78,87,109,117,126],"follow":[14],"processing":[15],"analysis.":[17],"In":[18,76],"recent":[19],"years,":[20],"a":[21],"large":[22],"number":[23],"denoising":[25,36],"algorithms":[26],"have":[27],"been":[28],"proposed":[29],"it":[31],"is":[32,38],"known":[33],"that":[34,114],"effect":[37],"highly":[39],"dependent":[40],"on":[41,59],"accurate":[43],"estimates":[44],"type":[47],"level":[49,71,116],"noise":[51,63,73,118],"present":[52],"an":[54,127],"HSI.":[55],"This":[56],"paper":[57],"focuses":[58],"analyzing":[60],"real":[62],"HSIs":[65,130],"by":[66,132],"separating":[67],"estimating":[69],"HSIs.":[75],"consideration":[77],"spectral":[80,103],"correlation":[81,100],"unique":[84],"spatial":[85],"structure":[86],"stripe":[88],"noise,":[89],"developed":[91],"method":[92],"employs":[93],"Fourier":[94],"domain":[95],"analysis":[96],"high":[99],"among":[101],"neighboring":[102],"bands":[104,125],"to":[105],"separate":[106],"different":[107,122,124,133,137],"types":[108],"noise.":[110],"Experimental":[111],"results":[112],"show":[113],"may":[119],"be":[120],"quite":[121],"for":[123],"HSI,":[128],"captured":[131],"senors":[134],"or":[135],"scenes.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
