{"id":"https://openalex.org/W2766563699","doi":"https://doi.org/10.1109/whispers.2016.8071745","title":"BBD: A new Bayesian bi-clustering denoising algorithm for IASI-NG hyperspectral images","display_name":"BBD: A new Bayesian bi-clustering denoising algorithm for IASI-NG hyperspectral images","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2766563699","doi":"https://doi.org/10.1109/whispers.2016.8071745","mag":"2766563699"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2016.8071745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-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/A5070921568","display_name":"Miguel Colom","orcid":"https://orcid.org/0000-0003-2636-0656"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"M. Colom","raw_affiliation_strings":["CMLA, Universite Paris-Saclay, Cachan, France"],"affiliations":[{"raw_affiliation_string":"CMLA, Universite Paris-Saclay, Cachan, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014200824","display_name":"Gwendoline Blanchet","orcid":null},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"G. Blanchet","raw_affiliation_strings":["Centre National d'\u00c9tudes Spatiales, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Centre National d'\u00c9tudes Spatiales, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024684857","display_name":"A. Klonecki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103201","display_name":"Noveltis (France)","ror":"https://ror.org/00shj4079","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210103201"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"A. Klonecki","raw_affiliation_strings":["NOVELTIS, Labege, France"],"affiliations":[{"raw_affiliation_string":"NOVELTIS, Labege, France","institution_ids":["https://openalex.org/I4210103201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081520421","display_name":"Olivier Lezeaux","orcid":"https://orcid.org/0000-0002-3182-6572"},"institutions":[{"id":"https://openalex.org/I4210103201","display_name":"Noveltis (France)","ror":"https://ror.org/00shj4079","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210103201"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"O. Lezeaux","raw_affiliation_strings":["NOVELTIS, Labege, France"],"affiliations":[{"raw_affiliation_string":"NOVELTIS, Labege, France","institution_ids":["https://openalex.org/I4210103201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069387497","display_name":"Eric P\u00e9quignot","orcid":null},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"E. Pequignot","raw_affiliation_strings":["Centre National d'\u00c9tudes Spatiales, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Centre National d'\u00c9tudes Spatiales, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009294983","display_name":"F. Poustomis","orcid":"https://orcid.org/0009-0004-3498-296X"},"institutions":[{"id":"https://openalex.org/I4210103201","display_name":"Noveltis (France)","ror":"https://ror.org/00shj4079","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210103201"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Poustomis","raw_affiliation_strings":["NOVELTIS, Labege, France"],"affiliations":[{"raw_affiliation_string":"NOVELTIS, Labege, France","institution_ids":["https://openalex.org/I4210103201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077986907","display_name":"C. Thi\u00e9baut","orcid":"https://orcid.org/0000-0002-4338-2753"},"institutions":[{"id":"https://openalex.org/I2799535048","display_name":"Centre National d'\u00c9tudes Spatiales","ror":"https://ror.org/04h1h0y33","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2799535048"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Thiebaut","raw_affiliation_strings":["Centre National d'\u00c9tudes Spatiales, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"Centre National d'\u00c9tudes Spatiales, Toulouse, France","institution_ids":["https://openalex.org/I2799535048"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007008527","display_name":"S. Ythier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103201","display_name":"Noveltis (France)","ror":"https://ror.org/00shj4079","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210103201"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Ythier","raw_affiliation_strings":["NOVELTIS, Labege, France"],"affiliations":[{"raw_affiliation_string":"NOVELTIS, Labege, France","institution_ids":["https://openalex.org/I4210103201"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057798674","display_name":"Jean\u2010Michel Morel","orcid":"https://orcid.org/0000-0002-6108-897X"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-M. Morel","raw_affiliation_strings":["CMLA, Universite Paris-Saclay, Cachan, France"],"affiliations":[{"raw_affiliation_string":"CMLA, Universite Paris-Saclay, Cachan, France","institution_ids":["https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5070921568"],"corresponding_institution_ids":["https://openalex.org/I277688954"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24262003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","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":0.9994999766349792,"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":0.9994999766349792,"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/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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9970999956130981,"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":0.8099753856658936},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7555450201034546},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7507346272468567},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6742819547653198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.625070333480835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6096478700637817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5996825098991394},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5081093311309814},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4687749445438385},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4559425115585327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3845335841178894},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2506839632987976}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8099753856658936},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7555450201034546},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7507346272468567},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6742819547653198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.625070333480835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6096478700637817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996825098991394},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5081093311309814},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4687749445438385},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4559425115585327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3845335841178894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2506839632987976},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2016.8071745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2016.8071745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1905552237","https://openalex.org/W1969760160","https://openalex.org/W1975674606","https://openalex.org/W1978147733","https://openalex.org/W2001536240","https://openalex.org/W2013430417","https://openalex.org/W2056370875","https://openalex.org/W2058005980","https://openalex.org/W2068902206","https://openalex.org/W2118418063","https://openalex.org/W2161073299","https://openalex.org/W2187758660"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2292979300","https://openalex.org/W2137369096"],"abstract_inverted_index":{"We":[0,77],"propose":[1],"a":[2,83,89,93],"new":[3,19],"denoising":[4,70],"method":[5,29],"for":[6,10],"3D":[7],"hyperspectral":[8],"images":[9],"the":[11,18,31,36,41,102,115,120,123],"future":[12],"MetOp-Second":[13],"Generation":[14],"series":[15],"satellite":[16,124],"incorporating":[17],"IASI-NG":[20],"interferometer,":[21],"to":[22,99,106,117],"be":[23],"launched":[24],"in":[25],"2021.":[26],"This":[27,110],"adaptive":[28,52],"retrieves":[30],"data":[32,75],"model":[33],"directly":[34],"from":[35],"input":[37],"noisy":[38],"granule,":[39],"using":[40],"following":[42],"techniques:":[43],"dual":[44,90],"clustering":[45,91],"(spectral":[46],"and":[47,54,92],"spatial),":[48],"dimensionality":[49,60,86],"reduction":[50,61,87,108,112],"by":[51,62,81,125],"PCA,":[53],"Bayesian":[55,94],"denoising.":[56],"The":[57],"use":[58],"of":[59,73,119,122],"PCA":[63,85,107],"has":[64],"been":[65],"already":[66],"proven":[67],"an":[68,130],"effective":[69],"technique":[71],"because":[72],"intrinsic":[74],"redundancy.":[76],"demonstrate":[78],"here":[79],"that":[80],"combining":[82],"local":[84],"with":[88,104],"denoising,":[95],"it":[96],"is":[97],"possible":[98],"improve":[100],"significantly":[101],"PSNR":[103],"respect":[105],"alone.":[109],"noise":[111],"hints":[113],"at":[114],"possibility":[116],"multiply":[118],"resolution":[121],"factor":[126],"4,":[127],"while":[128],"keeping":[129],"acceptable":[131],"SNR.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}