{"id":"https://openalex.org/W2328735579","doi":"https://doi.org/10.1109/tgrs.2016.2539154","title":"Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral\u2013Spatial Dimensionality Reduction of Hyperspectral Imagery","display_name":"Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral\u2013Spatial Dimensionality Reduction of Hyperspectral Imagery","publication_year":2016,"publication_date":"2016-03-31","ids":{"openalex":"https://openalex.org/W2328735579","doi":"https://doi.org/10.1109/tgrs.2016.2539154","mag":"2328735579"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2016.2539154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2539154","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5100715029","display_name":"Jinhuan Wen","orcid":"https://orcid.org/0000-0001-9819-535X"},"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":true,"raw_author_name":"Jinhuan Wen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078795882","display_name":"James E. Fowler","orcid":"https://orcid.org/0000-0003-2005-405X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James E. Fowler","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Distributed Analytics and Security Institute, and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Distributed Analytics and Security Institute, and the Geosystems Research Institute, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086729425","display_name":"Mingyi He","orcid":"https://orcid.org/0000-0003-2051-6955"},"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":"Mingyi He","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073503029","display_name":"Yongqiang Zhao","orcid":"https://orcid.org/0000-0002-6974-7327"},"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":"Yong-Qiang Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021924","display_name":"Chengzhi Deng","orcid":"https://orcid.org/0000-0001-8898-3766"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Deng","raw_affiliation_strings":["Department of Information Engineering, Nanchang Institute of Technology, Nanchang, China"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Nanchang Institute of Technology, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087934737","display_name":"Vineetha Menon","orcid":"https://orcid.org/0000-0001-6916-5346"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vineetha Menon","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100715029"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":4.1984,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.94528334,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":"7","first_page":"4272","last_page":"4286"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8708376884460449},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8703365325927734},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7421106100082397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7335383296012878},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6321435570716858},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6240454316139221},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5997939705848694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5620896220207214},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.46998870372772217},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44911232590675354},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4321935176849365},{"id":"https://openalex.org/keywords/multiplicative-function","display_name":"Multiplicative function","score":0.42241716384887695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.419631689786911}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8708376884460449},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8703365325927734},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7421106100082397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7335383296012878},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6321435570716858},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6240454316139221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5997939705848694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620896220207214},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.46998870372772217},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44911232590675354},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4321935176849365},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.42241716384887695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.419631689786911},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2016.2539154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2016.2539154","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4142148102","display_name":null,"funder_award_id":"3102014JCQ01097","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4216904813","display_name":null,"funder_award_id":"61420106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6927571608","display_name":null,"funder_award_id":"61301196","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G883707298","display_name":null,"funder_award_id":"61371152","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W92091516","https://openalex.org/W628438000","https://openalex.org/W1902027874","https://openalex.org/W1992229061","https://openalex.org/W1997575533","https://openalex.org/W2008757383","https://openalex.org/W2013793344","https://openalex.org/W2015583498","https://openalex.org/W2019188302","https://openalex.org/W2019338222","https://openalex.org/W2021006603","https://openalex.org/W2028051535","https://openalex.org/W2029343251","https://openalex.org/W2043545458","https://openalex.org/W2044465660","https://openalex.org/W2046793177","https://openalex.org/W2052955235","https://openalex.org/W2056587532","https://openalex.org/W2064886835","https://openalex.org/W2072187267","https://openalex.org/W2083541351","https://openalex.org/W2097872774","https://openalex.org/W2098057602","https://openalex.org/W2103250033","https://openalex.org/W2109395398","https://openalex.org/W2118796925","https://openalex.org/W2118945875","https://openalex.org/W2127199143","https://openalex.org/W2135029798","https://openalex.org/W2144719328","https://openalex.org/W2146987667","https://openalex.org/W2154872931","https://openalex.org/W2156718197","https://openalex.org/W2156820763","https://openalex.org/W2162698522","https://openalex.org/W2166782149","https://openalex.org/W2167685974","https://openalex.org/W2168481151","https://openalex.org/W2171500336","https://openalex.org/W2318098054","https://openalex.org/W2341545927","https://openalex.org/W2478493250","https://openalex.org/W3143596294","https://openalex.org/W6675955514","https://openalex.org/W6680012447","https://openalex.org/W6704443453"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2120164251","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2902260311","https://openalex.org/W2156699640","https://openalex.org/W4294224199"],"abstract_inverted_index":{"Nonnegative":[0],"matrix":[1],"factorization":[2,77],"(NMF),":[3],"which":[4,70,98],"can":[5,61,71],"lead":[6],"to":[7,14,29,121],"nonsubtractive":[8],"parts-based":[9],"representation,":[10],"has":[11,53],"been":[12,54],"demonstrated":[13],"be":[15],"effective":[16],"for":[17,91],"dimensionality":[18,93],"reduction":[19],"of":[20,67,149],"hyperspectral":[21,92,143],"imagery":[22],"(HSI).":[23],"However,":[24],"existing":[25],"NMF":[26,101],"methods":[27],"applied":[28],"HSI":[30],"use":[31],"only":[32,73],"a":[33,65,75,103,108,123],"single":[34],"spectral":[35],"feature":[36,111],"and":[37,132],"do":[38],"not":[39,72],"take":[40],"into":[41],"consideration":[42],"spatial":[43],"information,":[44],"such":[45],"as":[46],"texture":[47],"or":[48],"morphological":[49],"features,":[50,88],"while":[51],"it":[52],"widely":[55],"acknowledged":[56],"that":[57,84,113,117],"exploiting":[58],"multiple":[59],"features":[60],"improve":[62],"performance.":[63],"Consequently,":[64],"variant":[66],"orthogonal":[68,100],"NMF,":[69],"achieve":[74],"nonnegative":[76],"but":[78],"also":[79],"exploit":[80],"the":[81,115,147,150],"complementary":[82],"information":[83],"arises":[85],"among":[86],"heterogeneous":[87],"is":[89,130,136],"proposed":[90,96,151],"reduction.":[94],"The":[95],"method,":[97],"couples":[99],"with":[102],"previous":[104],"multiple-features-combining":[105],"algorithm,":[106],"yields":[107],"discriminative":[109],"low-dimensional":[110],"representation":[112],"matches":[114],"intuition":[116],"parts":[118],"should":[119],"sum":[120],"produce":[122],"whole.":[124],"An":[125],"efficient":[126],"multiplicative":[127],"updating":[128],"procedure":[129],"derived,":[131],"its":[133],"local":[134],"convergence":[135],"guaranteed":[137],"theoretically.":[138],"Experimental":[139],"results":[140],"on":[141],"two":[142],"data":[144],"sets":[145],"demonstrate":[146],"effectiveness":[148],"method.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}