{"id":"https://openalex.org/W2011603842","doi":"https://doi.org/10.1109/icassp.2014.6853926","title":"Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data","display_name":"Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2011603842","doi":"https://doi.org/10.1109/icassp.2014.6853926","mag":"2011603842"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00991388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075864331","display_name":"C\u00e9line Meillier","orcid":null},"institutions":[{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Celine Meillier","raw_affiliation_strings":["University of Grenoble, GIPSA-Lab, France","GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France"],"affiliations":[{"raw_affiliation_string":"University of Grenoble, GIPSA-Lab, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]},{"raw_affiliation_string":"GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France","institution_ids":["https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110451099","display_name":"Florent Chatelain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florent Chatelain","raw_affiliation_strings":["University of Grenoble, GIPSA-Lab, France","GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France"],"affiliations":[{"raw_affiliation_string":"University of Grenoble, GIPSA-Lab, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]},{"raw_affiliation_string":"GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France","institution_ids":["https://openalex.org/I899635006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101842561","display_name":"Olivier Michel","orcid":"https://orcid.org/0000-0002-0890-0383"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Michel","raw_affiliation_strings":["University of Grenoble, GIPSA-Lab, France","GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France"],"affiliations":[{"raw_affiliation_string":"University of Grenoble, GIPSA-Lab, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]},{"raw_affiliation_string":"GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France","institution_ids":["https://openalex.org/I899635006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083563228","display_name":"Hacheme Ayasso","orcid":"https://orcid.org/0000-0003-4571-1458"},"institutions":[{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I899635006","display_name":"Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/02rx3b187","country_code":"FR","type":"education","lineage":["https://openalex.org/I899635006"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hacheme Ayasso","raw_affiliation_strings":["University of Grenoble, GIPSA-Lab, France","GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France"],"affiliations":[{"raw_affiliation_string":"University of Grenoble, GIPSA-Lab, France","institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"]},{"raw_affiliation_string":"GIPSA-Lab., Univ. of Grenoble, St. Martin d'He\u0300res, France","institution_ids":["https://openalex.org/I899635006"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075864331"],"corresponding_institution_ids":["https://openalex.org/I4210124956","https://openalex.org/I899635006"],"apc_list":null,"apc_paid":null,"fwci":1.373,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83808406,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7736","issue":null,"first_page":"1886","last_page":"1890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9957000017166138,"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":0.9957000017166138,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9366306662559509},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6197097301483154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6012181639671326},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5840601325035095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5496453046798706},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5139772295951843},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4829918146133423},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.479205459356308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4640774726867676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4554334580898285},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.4164227843284607},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3155013620853424},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15943005681037903},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09957179427146912}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9366306662559509},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6197097301483154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6012181639671326},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5840601325035095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5496453046798706},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5139772295951843},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4829918146133423},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.479205459356308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4640774726867676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4554334580898285},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4164227843284607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3155013620853424},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15943005681037903},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09957179427146912}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6853926","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853926","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.635.8188","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.635.8188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hal.univ-grenoble-alpes.fr/docs/00/99/13/88/PDF/ICASSP_finale_version.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-00991388v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00991388","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.1905-1909","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00991388v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00991388","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Florence, Italy. pp.1905-1909","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964232485","https://openalex.org/W1968534054","https://openalex.org/W2010797000","https://openalex.org/W2019924191","https://openalex.org/W2020999234","https://openalex.org/W2033987165","https://openalex.org/W2067782748","https://openalex.org/W2070439985","https://openalex.org/W2086476397","https://openalex.org/W2106706098","https://openalex.org/W2118996198","https://openalex.org/W2142828725","https://openalex.org/W2160547390","https://openalex.org/W2165342265","https://openalex.org/W2545554564","https://openalex.org/W2625544450","https://openalex.org/W3015395265","https://openalex.org/W3102259203","https://openalex.org/W3157783559","https://openalex.org/W6668350539","https://openalex.org/W6775684003","https://openalex.org/W6783014904"],"related_works":["https://openalex.org/W2096947471","https://openalex.org/W2011903341","https://openalex.org/W2529605301","https://openalex.org/W2013882407","https://openalex.org/W1981436518","https://openalex.org/W2281539319","https://openalex.org/W1485223389","https://openalex.org/W2040597492","https://openalex.org/W3021133747","https://openalex.org/W1489532500"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,74,79],"method":[4,95],"that":[5,26],"aims":[6],"at":[7],"detecting":[8],"small":[9],"and":[10,42,53,101],"faint":[11,69,108],"objects":[12,44,57,109],"in":[13,30,88,110],"noisy":[14],"hyperspectral":[15,24,89,113],"astrophysical":[16,112],"images":[17,25],"is":[18,31,45,51,96],"presented.":[19],"The":[20,91],"particularity":[21],"of":[22,39,86,93],"the":[23,32,40,55,84,94],"we":[27],"are":[28,58],"interested":[29],"high":[33],"dynamics":[34],"between":[35],"object":[36],"intensities.":[37],"Detection":[38],"smallest":[41],"faintest":[43],"challenging,":[46],"because":[47],"their":[48,62],"signal-to-noise":[49],"ratio":[50],"low,":[52],"if":[54],"brightest":[56],"not":[59],"well":[60],"reconstructed,":[61],"residuals":[63],"can":[64],"be":[65],"more":[66],"energetic":[67],"than":[68],"objects.":[70],"This":[71],"paper":[72],"proposes":[73],"marked":[75],"point":[76],"process":[77],"within":[78],"nonparametric":[80],"Bayesian":[81],"framework":[82],"for":[83,106],"detection":[85],"galaxies":[87],"data.":[90,114],"efficiency":[92],"demonstrated":[97],"on":[98],"synthetic":[99],"images,":[100],"it":[102],"provides":[103],"good":[104],"results":[105],"very":[107],"quasi-real":[111]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
