{"id":"https://openalex.org/W2104314841","doi":"https://doi.org/10.1109/icassp.2014.6855148","title":"Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging","display_name":"Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2104314841","doi":"https://doi.org/10.1109/icassp.2014.6855148","mag":"2104314841"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6855148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855148","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01484999","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009495271","display_name":"Tales Imbiriba","orcid":"https://orcid.org/0000-0002-2626-2039"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"T. Imbiriba","raw_affiliation_strings":["Federal University of Santa Catarina, Florian\u00f3polis, SC, Brazil","[Fed. Univ. of Santa Catarina, Florianopolis, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina, Florian\u00f3polis, SC, Brazil","institution_ids":["https://openalex.org/I4104125"]},{"raw_affiliation_string":"[Fed. Univ. of Santa Catarina, Florianopolis, Brazil]","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066014633","display_name":"J.C.M. Bermudez","orcid":"https://orcid.org/0000-0002-6712-939X"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"J. C. M. Bermudez","raw_affiliation_strings":["Federal University of Santa Catarina, Florian\u00f3polis, SC, Brazil","[Fed. Univ. of Santa Catarina, Florianopolis, Brazil]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Santa Catarina, Florian\u00f3polis, SC, Brazil","institution_ids":["https://openalex.org/I4104125"]},{"raw_affiliation_string":"[Fed. Univ. of Santa Catarina, Florianopolis, Brazil]","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018816346","display_name":"Jean\u2010Yves Tourneret","orcid":"https://orcid.org/0000-0001-5219-3455"},"institutions":[{"id":"https://openalex.org/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555"]},{"id":"https://openalex.org/I205747304","display_name":"Institut National Polytechnique de Toulouse","ror":"https://ror.org/033p9g875","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304"]},{"id":"https://openalex.org/I3131550300","display_name":"Universit\u00e9 Toulouse-I-Capitole","ror":"https://ror.org/0443n9e75","country_code":"FR","type":"education","lineage":["https://openalex.org/I3131550300"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4210152422","display_name":"Universit\u00e9 Toulouse - Jean Jaur\u00e8s","ror":"https://ror.org/04ezk3x31","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210152422"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4387153255","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'\u00c9lectrotechnique, d'\u00c9lectronique, d'Informatique, d'Hydraulique et des T\u00e9l\u00e9communications","ror":"https://ror.org/05wfw4946","country_code":"FR","type":"education","lineage":["https://openalex.org/I205747304","https://openalex.org/I4387153255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-Y. Tourneret","raw_affiliation_strings":["IRIT-ENSEEIHT, University of Toulouse, Toulouse, France","IRIT-ENSEEIHT, Univ. of Toulouse, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IRIT-ENSEEIHT, University of Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I205747304","https://openalex.org/I3131550300","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4210160189","https://openalex.org/I4387153255"]},{"raw_affiliation_string":"IRIT-ENSEEIHT, Univ. of Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I134560555","https://openalex.org/I205747304","https://openalex.org/I3131550300","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4210160189","https://openalex.org/I4387153255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009808175","display_name":"C\u00e9dric Richard","orcid":"https://orcid.org/0000-0003-2890-141X"},"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"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"C. Richard","raw_affiliation_strings":["CNRS, Universit\u00e9 de Nice Sophia-Antipolis, Nice, France","Univ. de Nice Sophia-Antipolis, Nice, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Universit\u00e9 de Nice Sophia-Antipolis, Nice, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I201841394"]},{"raw_affiliation_string":"Univ. de Nice Sophia-Antipolis, Nice, France","institution_ids":["https://openalex.org/I201841394"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0271,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74915483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"7949","last_page":"7953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.97079998254776,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9674825072288513},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7730525732040405},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6165562272071838},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6158405542373657},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5795349478721619},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5601840615272522},{"id":"https://openalex.org/keywords/mixing","display_name":"Mixing (physics)","score":0.5409916043281555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5218464136123657},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5216134786605835},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5122291445732117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4936283826828003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33554667234420776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.335064172744751},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17106971144676208}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9674825072288513},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7730525732040405},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6165562272071838},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6158405542373657},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5795349478721619},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5601840615272522},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.5409916043281555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5218464136123657},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5216134786605835},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5122291445732117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4936283826828003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33554667234420776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.335064172744751},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17106971144676208},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2014.6855148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6855148","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:10.1.1.643.6844","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.643.6844","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cedric-richard.fr/Articles/imbirida2014detection.pdf","raw_type":"text"},{"id":"pmh:oai:HAL:hal-01484999v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01484999","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":"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp. 7949-7953","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01484999v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01484999","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":"IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp. 7949-7953","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1560724230","https://openalex.org/W1746819321","https://openalex.org/W1819447595","https://openalex.org/W1969107320","https://openalex.org/W1977824599","https://openalex.org/W1991567646","https://openalex.org/W2005818237","https://openalex.org/W2019274094","https://openalex.org/W2028967512","https://openalex.org/W2060629443","https://openalex.org/W2069231830","https://openalex.org/W2087263574","https://openalex.org/W2088259770","https://openalex.org/W2108917905","https://openalex.org/W2118996198","https://openalex.org/W2128462828","https://openalex.org/W2133782497","https://openalex.org/W2139047226","https://openalex.org/W2142202560","https://openalex.org/W2157321686","https://openalex.org/W2295820431","https://openalex.org/W2481926318","https://openalex.org/W2541576858","https://openalex.org/W2545554564","https://openalex.org/W2766547421","https://openalex.org/W3122463936","https://openalex.org/W4211049957","https://openalex.org/W4233760599","https://openalex.org/W6745716280"],"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/W2019190440","https://openalex.org/W2343470940"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,43,55],"use":[4],"of":[5,21,54,78],"Gaussian":[6,49],"processes":[7],"to":[8,30,69,86,99],"detect":[9],"non-linearly":[10],"mixed":[11],"pixels":[12],"in":[13,60],"hyperspectral":[14,114],"images.":[15],"The":[16,36,51,81,105],"proposed":[17,82,92],"technique":[18],"is":[19,27,67,84,97,108],"independent":[20],"nonlinear":[22,33],"mixing":[23,34],"mechanism,":[24],"and":[25,47,96],"therefore":[26],"not":[28],"restricted":[29],"any":[31],"prescribed":[32],"model.":[35],"observed":[37],"reflectances":[38],"are":[39,58],"estimated":[40],"using":[41,93],"both":[42],"least":[44],"squares":[45],"method":[46],"a":[48,61,71,75,87,101,112],"process.":[50],"fitting":[52],"errors":[53],"two":[56],"approaches":[57],"combined":[59],"test":[62],"statistics":[63],"for":[64],"which":[65],"it":[66],"possible":[68],"estimate":[70],"detection":[72,103],"threshold":[73],"given":[74],"required":[76],"probability":[77],"false":[79],"alarm.":[80],"detector":[83,90,107],"compared":[85],"robust":[88],"nonlinearity":[89],"recently":[91],"synthetic":[94],"data":[95],"shown":[98],"provide":[100],"better":[102],"performance.":[104],"new":[106],"also":[109],"tested":[110],"on":[111],"real":[113],"image.":[115]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}