{"id":"https://openalex.org/W2033146057","doi":"https://doi.org/10.1109/tsp.2014.2306181","title":"Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images","display_name":"Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images","publication_year":2014,"publication_date":"2014-02-13","ids":{"openalex":"https://openalex.org/W2033146057","doi":"https://doi.org/10.1109/tsp.2014.2306181","mag":"2033146057"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2014.2306181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2306181","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-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/A5013315977","display_name":"In\u00e8s Meganem","orcid":null},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"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","https://openalex.org/I4405258862"]},{"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"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Ines Meganem","raw_affiliation_strings":["IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","IRAP, Univ. de Toulouse, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I134560555","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRAP, Univ. de Toulouse, Toulouse, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079357805","display_name":"Yannick Deville","orcid":"https://orcid.org/0000-0002-8769-2446"},"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","https://openalex.org/I4405258862"]},{"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/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yannick Deville","raw_affiliation_strings":["IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","IRAP, Univ. de Toulouse, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I134560555","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRAP, Univ. de Toulouse, Toulouse, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103856758","display_name":"Shahram Hosseini","orcid":"https://orcid.org/0009-0007-0597-1147"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"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/I134560555","display_name":"Universit\u00e9 Toulouse III - Paul Sabatier","ror":"https://ror.org/02v6kpv12","country_code":"FR","type":"education","lineage":["https://openalex.org/I134560555","https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Shahram Hosseini","raw_affiliation_strings":["IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","IRAP, Univ. de Toulouse, Toulouse, France"],"affiliations":[{"raw_affiliation_string":"IRAP, CNRS, Universit\u00e9 de Toulouse, UPS-OMP, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I134560555","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IRAP, Univ. de Toulouse, Toulouse, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032065429","display_name":"Philippe D\u00e9liot","orcid":"https://orcid.org/0000-0001-9095-2504"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Philippe Deliot","raw_affiliation_strings":["ONERA, The French Aerospace Lab, Toulouse, France","ONERA, French Aerosp. Lab., Toulouse, France"],"affiliations":[{"raw_affiliation_string":"ONERA, The French Aerospace Lab, Toulouse, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"ONERA, French Aerosp. Lab., Toulouse, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035244581","display_name":"Xavier Briottet","orcid":"https://orcid.org/0000-0002-1229-7396"},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Briottet","raw_affiliation_strings":["ONERA, The French Aerospace Lab, Toulouse, France","ONERA, French Aerosp. Lab., Toulouse, France"],"affiliations":[{"raw_affiliation_string":"ONERA, The French Aerospace Lab, Toulouse, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"ONERA, French Aerosp. Lab., Toulouse, France","institution_ids":["https://openalex.org/I2801658355"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013315977"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I134560555","https://openalex.org/I17866349"],"apc_list":null,"apc_paid":null,"fwci":8.734,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.98327546,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"62","issue":"7","first_page":"1822","last_page":"1833"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9886000156402588,"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":0.9532181024551392},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8569358587265015},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.6644484400749207},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5538979172706604},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5387107133865356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5166407227516174},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4934731721878052},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.468810111284256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46235334873199463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4607006907463074},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4406561255455017},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.41469770669937134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3209512233734131},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1481449007987976}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9532181024551392},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8569358587265015},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.6644484400749207},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5538979172706604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5387107133865356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5166407227516174},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4934731721878052},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.468810111284256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46235334873199463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4607006907463074},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4406561255455017},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.41469770669937134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3209512233734131},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1481449007987976},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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":1,"locations":[{"id":"doi:10.1109/tsp.2014.2306181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2306181","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1563800729","https://openalex.org/W1755563775","https://openalex.org/W1902027874","https://openalex.org/W1976391658","https://openalex.org/W1987906574","https://openalex.org/W1996355918","https://openalex.org/W2002086429","https://openalex.org/W2024078374","https://openalex.org/W2082911114","https://openalex.org/W2083016737","https://openalex.org/W2099703033","https://openalex.org/W2103361339","https://openalex.org/W2105134297","https://openalex.org/W2110096996","https://openalex.org/W2110340688","https://openalex.org/W2112965385","https://openalex.org/W2114486983","https://openalex.org/W2114508388","https://openalex.org/W2124195644","https://openalex.org/W2126344578","https://openalex.org/W2129280250","https://openalex.org/W2133947547","https://openalex.org/W2135029798","https://openalex.org/W2141224535","https://openalex.org/W2142638745","https://openalex.org/W2156787910","https://openalex.org/W2162165657","https://openalex.org/W2165907291","https://openalex.org/W2168446235","https://openalex.org/W2170176756","https://openalex.org/W2404400936","https://openalex.org/W3101375842","https://openalex.org/W3143596294","https://openalex.org/W4205778870","https://openalex.org/W4214693350","https://openalex.org/W4293775970","https://openalex.org/W6633621281","https://openalex.org/W6671249588","https://openalex.org/W6676349960","https://openalex.org/W6680012447","https://openalex.org/W6683866173","https://openalex.org/W6991377603"],"related_works":["https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W1979654135","https://openalex.org/W2156699640","https://openalex.org/W2156181515","https://openalex.org/W2158112352","https://openalex.org/W2098101267","https://openalex.org/W2081322759","https://openalex.org/W1984255382"],"abstract_inverted_index":{"In":[0,30],"this":[1,31],"work,":[2],"we":[3,33,91],"propose":[4,34],"algorithms":[5,110],"to":[6,52,100],"perform":[7],"Blind":[8],"Source":[9],"Separation":[10],"(BSS)":[11],"for":[12,80,104],"the":[13,24,27,56,101,105,122],"linear-quadratic":[14,18,106],"mixing":[15],"model.":[16,107],"The":[17,84,108],"model":[19],"is":[20,49,89,97],"less":[21],"studied":[22],"in":[23,65,74],"literature":[25],"than":[26],"linear":[28,102],"one.":[29],"paper,":[32],"original":[35],"methods":[36,48],"that":[37,90],"are":[38,58,61,111,125],"based":[39],"on":[40],"Non-negative":[41],"Matrix":[42],"Factorization":[43],"(NMF).":[44],"This":[45],"class":[46],"of":[47,71,86,94],"well":[50],"suited":[51,99],"many":[53],"applications":[54],"where":[55],"data":[57],"non-negative.":[59],"We":[60],"here":[62],"particularly":[63],"interested":[64],"spectral":[66],"unmixing":[67],"(extracting":[68],"reflectance":[69,119],"spectra":[70,120],"materials":[72],"present":[73],"pixels":[75],"and":[76,121],"associated":[77],"abundance":[78],"fractions)":[79],"urban":[81],"hyperspectral":[82,115],"images.":[83],"originality":[85],"our":[87],"work":[88],"developed":[92],"extensions":[93],"NMF,":[95],"which":[96],"initially":[98],"model,":[103],"proposed":[109],"tested":[112],"with":[113],"simulated":[114],"images":[116],"using":[117],"real":[118],"obtained":[123],"results":[124],"very":[126],"satisfactory.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
