{"id":"https://openalex.org/W2092471590","doi":"https://doi.org/10.1109/whispers.2010.5594902","title":"Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument","display_name":"Sparsity-based denoising of hyperspectral astrophysical data with colored noise: Application to the MUSE instrument","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2092471590","doi":"https://doi.org/10.1109/whispers.2010.5594902","mag":"2092471590"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2010.5594902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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/A5025864759","display_name":"S\u00e9bastien Bourguignon","orcid":"https://orcid.org/0000-0002-6660-2704"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Bourguignon","raw_affiliation_strings":["CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106485187","display_name":"David Mary","orcid":"https://orcid.org/0000-0002-9047-5768"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Mary","raw_affiliation_strings":["CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113905226","display_name":"E. Slezak","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210126779","display_name":"Observatoire de la C\u00f4te d\u2019Azur","ror":"https://ror.org/039fj2469","country_code":"FR","type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4210126779"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eric Slezak","raw_affiliation_strings":["CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Observatoire de la C\u00f4te d'Azur, University of Nice-Sophia Antipolis, Nice, France","institution_ids":["https://openalex.org/I4210126779","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"University of Nice Sophia Antipolis, CNRS, Observatoire de la C\u00f4te d'Azur, B.P. 4229, 06304 Nice Cedex 4, France","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9374,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.874507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.882700502872467},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7143109440803528},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6315039396286011},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6206918954849243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.568082869052887},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.5260099172592163},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4535142779350281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.445059597492218},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3651088774204254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2787740230560303},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2269366979598999}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.882700502872467},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7143109440803528},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6315039396286011},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6206918954849243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568082869052887},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.5260099172592163},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4535142779350281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.445059597492218},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3651088774204254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2787740230560303},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2269366979598999},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2010.5594902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2010.5594902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1540764732","https://openalex.org/W2002967619","https://openalex.org/W2079556846","https://openalex.org/W2090927030","https://openalex.org/W2099641086","https://openalex.org/W2157969180","https://openalex.org/W2158940042","https://openalex.org/W2163985581","https://openalex.org/W2498217792","https://openalex.org/W3102259203","https://openalex.org/W4214806317"],"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/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,49,63,83],"denoising":[4,143],"method":[5],"for":[6],"hyperspectral":[7],"astro-physical":[8],"data,":[9],"adapted":[10],"to":[11,101],"the":[12,15,30,71,91,105,108,125],"specificities":[13],"of":[14,29,51,85,93,150],"MUSE":[16],"(Multi-Unit":[17],"Spectroscopic":[18],"Explorer)":[19],"instrument,":[20],"which":[21,67,98],"will":[22],"provide":[23],"massive":[24],"integral":[25],"field":[26],"spectroscopic":[27],"observations":[28],"far":[31],"universe,":[32],"characterized":[33],"by":[34,61],"very":[35],"low":[36],"signal-to-noise":[37],"ratio":[38],"and":[39,95,107,133],"strongly":[40],"non":[41],"identically":[42],"distributed":[43],"noise.":[44],"Data":[45],"are":[46,88,99,139,145],"considered":[47],"as":[48,90],"collection":[50],"spectra.":[52],"The":[53],"proposed":[54],"restoration":[55],"procedure":[56],"operates":[57],"on":[58,147],"each":[59],"spectrum":[60],"minimizing":[62],"penalized":[64],"data-fit":[65],"criterion,":[66],"takes":[68],"into":[69],"account":[70],"noise":[72,117],"spectral":[73],"distribution,":[74],"with":[75,115],"additional":[76],"constraints":[77],"expressing":[78],"prior":[79],"sparsity":[80],"information":[81],"in":[82,104],"union":[84],"bases.":[86],"Spectra":[87],"modeled":[89],"sum":[92],"line":[94],"continuous":[96],"spectra,":[97],"supposed":[100],"be":[102],"sparse":[103],"canonical":[106],"Discrete":[109],"Cosine":[110],"Transform":[111],"bases,":[112],"respectively.":[113],"Dealing":[114],"colored":[116],"requires":[118],"specific":[119],"methodological":[120],"approaches":[121],"regarding":[122],"not":[123],"only":[124],"estimator":[126],"definition":[127],"itself,":[128],"but":[129],"also":[130],"hyperparameter":[131],"tuning":[132],"optimization":[134],"issues.":[135],"These":[136],"three":[137],"points":[138],"successively":[140],"investigated.":[141],"Promising":[142],"results":[144],"obtained":[146],"realistic":[148],"simulations":[149],"astrophysical":[151],"observations.":[152]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}