{"id":"https://openalex.org/W3015282369","doi":"https://doi.org/10.1109/icassp40776.2020.9053239","title":"Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data","display_name":"Pixel-Wise Linear/Nonlinear Nonnegative Matrix Factorization for Unmixing of Hyperspectral Data","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015282369","doi":"https://doi.org/10.1109/icassp40776.2020.9053239","mag":"3015282369"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://normandie-univ.hal.science/hal-03088297","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049872589","display_name":"Fei Zhu","orcid":"https://orcid.org/0000-0002-8113-3707"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Zhu","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China","Center for Applied Mathematics, Tianjin University (Tianjin 300072, China - China)"],"affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]},{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University (Tianjin 300072, China - China)","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074267243","display_name":"Paul Honein\u00e9","orcid":"https://orcid.org/0000-0002-3042-183X"},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I62396329","display_name":"Universit\u00e9 de Rouen Normandie","ror":"https://ror.org/03nhjew95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I62396329"]},{"id":"https://openalex.org/I4210108118","display_name":"Laboratoire d'Informatique, du Traitement de l'Information et des Syst\u00e8mes","ror":"https://ror.org/01f1vfy95","country_code":"FR","type":"facility","lineage":["https://openalex.org/I141576021","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210108118","https://openalex.org/I62396329","https://openalex.org/I88814501"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paul Honeine","raw_affiliation_strings":["LITIS, Normandie Univ, UNIROUEN, Rouen, France","DocApp - LITIS - Equipe Apprentissage (France)"],"affiliations":[{"raw_affiliation_string":"LITIS, Normandie Univ, UNIROUEN, Rouen, France","institution_ids":["https://openalex.org/I62396329","https://openalex.org/I4210105918"]},{"raw_affiliation_string":"DocApp - LITIS - Equipe Apprentissage (France)","institution_ids":["https://openalex.org/I4210108118"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333004","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0003-2306-8860"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","School of Marine Science and Technology (Northwestern Polytechnical University, Xi'an, China - China)"],"affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Marine Science and Technology (Northwestern Polytechnical University, Xi'an, China - China)","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049872589"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.566,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73716059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4737","last_page":"4741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"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":0.9998999834060669,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9948999881744385,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9225424528121948},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8246917724609375},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6950532793998718},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6254814267158508},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6248346567153931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6211839318275452},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6143282651901245},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.6084432005882263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5930818319320679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5626935362815857},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.4779536724090576},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43715953826904297},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4237973093986511},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.340902715921402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3090571165084839},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.09435561299324036}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9225424528121948},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8246917724609375},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6950532793998718},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6254814267158508},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6248346567153931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6211839318275452},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6143282651901245},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.6084432005882263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5930818319320679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5626935362815857},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.4779536724090576},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43715953826904297},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4237973093986511},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.340902715921402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3090571165084839},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.09435561299324036},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03088297v1","is_oa":true,"landing_page_url":"https://normandie-univ.hal.science/hal-03088297","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 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.4737-4741, &#x27E8;10.1109/ICASSP40776.2020.9053239&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03088297v1","is_oa":true,"landing_page_url":"https://normandie-univ.hal.science/hal-03088297","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 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2020, Barcelona, Spain. pp.4737-4741, &#x27E8;10.1109/ICASSP40776.2020.9053239&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1957094454","https://openalex.org/W2005818237","https://openalex.org/W2011315899","https://openalex.org/W2019149505","https://openalex.org/W2019274094","https://openalex.org/W2025315075","https://openalex.org/W2042626896","https://openalex.org/W2059465815","https://openalex.org/W2060629443","https://openalex.org/W2070424424","https://openalex.org/W2078222544","https://openalex.org/W2101837437","https://openalex.org/W2125678373","https://openalex.org/W2127062304","https://openalex.org/W2132956823","https://openalex.org/W2144492104","https://openalex.org/W2151111809","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2547615883","https://openalex.org/W2963069169","https://openalex.org/W2974534743","https://openalex.org/W2984140474","https://openalex.org/W3122463936","https://openalex.org/W6665292313"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W3106536224","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2563324120","https://openalex.org/W2898368675"],"abstract_inverted_index":{"Nonlinear":[0],"spectral":[1],"unmixing":[2,45],"is":[3],"a":[4,59,76],"challenging":[5],"and":[6,73,88],"important":[7],"task":[8],"in":[9,24],"hyperspectral":[10],"image":[11],"analysis.":[12],"The":[13],"kernel-based":[14],"bi-objective":[15],"non-negative":[16],"matrix":[17],"factorization":[18],"(Bi-NMF)":[19],"has":[20],"shown":[21],"its":[22,34],"usefulness":[23],"nonlinear":[25,44],"unmixing;":[26],"However,":[27],"it":[28],"suffers":[29],"several":[30],"issues":[31],"that":[32,47,61],"prohibit":[33],"practical":[35],"application.":[36],"In":[37],"this":[38],"work,":[39],"we":[40],"propose":[41],"an":[42],"unsupervised":[43],"method":[46,54],"overcomes":[48],"these":[49],"weaknesses.":[50],"Specifically,":[51],"the":[52,63,92,95],"new":[53],"introduces":[55],"into":[56],"each":[57],"pixel":[58],"parameter":[60],"adjusts":[62],"nonlinearity":[64],"therein.":[65],"These":[66],"parameters":[67],"are":[68],"jointly":[69],"optimized":[70],"with":[71],"endmembers":[72],"abundances,":[74],"using":[75],"carefully":[77],"designed":[78],"objective":[79],"function":[80],"by":[81],"multiplicative":[82],"update":[83],"rules.":[84],"Experiments":[85],"on":[86],"synthetic":[87],"real":[89],"datasets":[90],"confirm":[91],"effectiveness":[93],"of":[94],"proposed":[96],"method.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
