{"id":"https://openalex.org/W2482832321","doi":"https://doi.org/10.1109/atsip.2016.7523156","title":"Efficient source separation algorithm based on NMF approach","display_name":"Efficient source separation algorithm based on NMF approach","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2482832321","doi":"https://doi.org/10.1109/atsip.2016.7523156","mag":"2482832321"},"language":"en","primary_location":{"id":"doi:10.1109/atsip.2016.7523156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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/A5066647809","display_name":"Sami Cherif","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Cherif Sami","raw_affiliation_strings":["LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia"],"affiliations":[{"raw_affiliation_string":"LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029866121","display_name":"Lazreg Hassen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lazreg Hassen","raw_affiliation_strings":["LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia"],"affiliations":[{"raw_affiliation_string":"LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102801379","display_name":"Kamel Aloui","orcid":"https://orcid.org/0000-0003-4243-2138"},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Aloui Kamel","raw_affiliation_strings":["LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia"],"affiliations":[{"raw_affiliation_string":"LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078607213","display_name":"Naceur Med Saber","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131288","display_name":"National Engineering School of Tunis","ror":"https://ror.org/03b1zjt31","country_code":"TN","type":"education","lineage":["https://openalex.org/I4210131288","https://openalex.org/I63596082"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Naceur Med Saber","raw_affiliation_strings":["LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia"],"affiliations":[{"raw_affiliation_string":"LTSIRS laboratory, National Engineering School of Tunis (ENIT), Tunisia","institution_ids":["https://openalex.org/I4210131288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066647809"],"corresponding_institution_ids":["https://openalex.org/I4210131288"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09444795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"528","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.9407554864883423},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8843387961387634},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6962177753448486},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6276429891586304},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6116581559181213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.569367527961731},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.5328996777534485},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5206007957458496},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5148081183433533},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5085893869400024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49031999707221985},{"id":"https://openalex.org/keywords/source-separation","display_name":"Source separation","score":0.4662099778652191},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45882487297058105},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.43437108397483826},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.41914495825767517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4163905680179596},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2608007490634918}],"concepts":[{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.9407554864883423},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8843387961387634},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6962177753448486},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6276429891586304},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6116581559181213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.569367527961731},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.5328996777534485},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5206007957458496},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5148081183433533},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5085893869400024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49031999707221985},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.4662099778652191},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45882487297058105},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.43437108397483826},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.41914495825767517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4163905680179596},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2608007490634918},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/atsip.2016.7523156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/atsip.2016.7523156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","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":24,"referenced_works":["https://openalex.org/W72893484","https://openalex.org/W1547060653","https://openalex.org/W1902027874","https://openalex.org/W1976391658","https://openalex.org/W2059745395","https://openalex.org/W2078210981","https://openalex.org/W2116216716","https://openalex.org/W2124757684","https://openalex.org/W2135029798","https://openalex.org/W2136637647","https://openalex.org/W2140318696","https://openalex.org/W2148694408","https://openalex.org/W2155759219","https://openalex.org/W2156787910","https://openalex.org/W2263958071","https://openalex.org/W2620898487","https://openalex.org/W2798766386","https://openalex.org/W3143596294","https://openalex.org/W4242209908","https://openalex.org/W4292023222","https://openalex.org/W6602920942","https://openalex.org/W6680012447","https://openalex.org/W6680770193","https://openalex.org/W6750230808"],"related_works":["https://openalex.org/W4294224199","https://openalex.org/W2037504162","https://openalex.org/W2774154397","https://openalex.org/W2146544734","https://openalex.org/W2156699640","https://openalex.org/W2098101267","https://openalex.org/W1979654135","https://openalex.org/W2156181515","https://openalex.org/W2081322759","https://openalex.org/W1984255382"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,19,25,28,75],"spectral":[3,20,26],"data":[4,85],"unmixing":[5,48],"is":[6],"a":[7,17,23,38,73,91],"recurring":[8],"issue":[9],"in":[10,15,34],"hyperspectral":[11],"imaging.":[12],"It":[13],"consists":[14],"decomposing":[16],"set":[18],"vectors":[21],"on":[22,83],"collection":[24],"signatures":[27],"pure":[29],"components":[30],"to":[31,45,60,67,89],"be":[32,42],"determined":[33],"the":[35,46,55,62],"mixture.":[36],"Technically,":[37],"dimension":[39],"reduction":[40],"may":[41],"applied":[43],"according":[44],"chosen":[47],"algorithm.":[49],"In":[50],"this":[51,81],"paper,":[52],"we":[53,87],"investigate":[54],"Non-negative":[56],"Matrix":[57],"Factorization":[58],"(NMF)":[59],"extract":[61],"appropriate":[63],"algorithm":[64,94],"which":[65],"allows":[66],"decompose":[68],"any":[69],"non-negative":[70,77],"matrix":[71],"as":[72],"product":[74],"two":[76],"matrices.":[78],"We":[79],"implemented":[80],"technique":[82],"CASI":[84],"and":[86],"finished":[88],"choose":[90],"suitable":[92],"classification":[93],"with":[95],"minimal":[96],"interesting":[97],"information.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}