{"id":"https://openalex.org/W2551961488","doi":"https://doi.org/10.1109/jstars.2016.2621003","title":"Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing","display_name":"Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing","publication_year":2016,"publication_date":"2016-11-22","ids":{"openalex":"https://openalex.org/W2551961488","doi":"https://doi.org/10.1109/jstars.2016.2621003","mag":"2551961488"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2016.2621003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2621003","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/340633","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101564188","display_name":"Lei Tong","orcid":"https://orcid.org/0000-0002-8904-3810"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tong","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781212","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-5822-8233"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372201","display_name":"Xue Li","orcid":"https://orcid.org/0000-0002-4515-6792"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059857918","display_name":"Yuntao Qian","orcid":"https://orcid.org/0000-0002-7418-5891"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuntao Qian","raw_affiliation_strings":["Institute of Artificial Intelligence, College of Computer Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, College of Computer Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071549690","display_name":"Yongsheng Gao","orcid":"https://orcid.org/0000-0002-5382-5351"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongsheng Gao","raw_affiliation_strings":["School of Engineering, Griffith University, Nathan, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Griffith University, Nathan, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":{"value":1250,"currency":"USD","value_usd":1250},"fwci":7.3628,"has_fulltext":true,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97455969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"4","first_page":"1575","last_page":"1588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9934999942779541,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9847000241279602,"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":0.9288855791091919},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8996484279632568},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.6589674353599548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6161369681358337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.591221809387207},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5441033840179443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5419377684593201},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.4998195171356201},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.49253734946250916},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4559517502784729},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36926108598709106}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9288855791091919},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8996484279632568},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.6589674353599548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6161369681358337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.591221809387207},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5441033840179443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5419377684593201},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.4998195171356201},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.49253734946250916},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4559517502784729},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36926108598709106},{"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},{"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/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/jstars.2016.2621003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2016.2621003","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/340633","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/340633","pdf_url":"http://hdl.handle.net/10072/340633","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:731485","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/340633","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/340633","pdf_url":"http://hdl.handle.net/10072/340633","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4544578888","display_name":"\u57fa\u4e8e\u591a\u4efb\u52a1\u5b66\u4e60\u6a21\u578b\u7684\u4efb\u52a1\u9a71\u52a8\u591a/\u9ad8\u5149\u8c31\u56fe\u50cf\u53bb\u566a\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61571393","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2551961488.pdf","grobid_xml":"https://content.openalex.org/works/W2551961488.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W206024","https://openalex.org/W1555549210","https://openalex.org/W1576357034","https://openalex.org/W1755724306","https://openalex.org/W1902027874","https://openalex.org/W1964570608","https://openalex.org/W1965340435","https://openalex.org/W1976391658","https://openalex.org/W1976615758","https://openalex.org/W1981939910","https://openalex.org/W1999478155","https://openalex.org/W2004207873","https://openalex.org/W2010797000","https://openalex.org/W2016546886","https://openalex.org/W2021455849","https://openalex.org/W2027357158","https://openalex.org/W2027878671","https://openalex.org/W2032944446","https://openalex.org/W2033529478","https://openalex.org/W2043665634","https://openalex.org/W2048056733","https://openalex.org/W2049418899","https://openalex.org/W2054854521","https://openalex.org/W2063069198","https://openalex.org/W2065548527","https://openalex.org/W2070424424","https://openalex.org/W2089298795","https://openalex.org/W2101837437","https://openalex.org/W2107120407","https://openalex.org/W2114486983","https://openalex.org/W2122976738","https://openalex.org/W2125298866","https://openalex.org/W2127062304","https://openalex.org/W2128971683","https://openalex.org/W2131725398","https://openalex.org/W2135029798","https://openalex.org/W2140501674","https://openalex.org/W2153885347","https://openalex.org/W2154747411","https://openalex.org/W2156718197","https://openalex.org/W2157321686","https://openalex.org/W2159819721","https://openalex.org/W2163721270","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2169466597","https://openalex.org/W2490201121","https://openalex.org/W3023900521","https://openalex.org/W3101195009","https://openalex.org/W4233760599","https://openalex.org/W4320339642","https://openalex.org/W6633261909","https://openalex.org/W6675750237","https://openalex.org/W6680012447","https://openalex.org/W6682755970"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W3106536224","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2315521504","https://openalex.org/W2898368675"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,144,182],"is":[2,24,125],"one":[3],"of":[4,37,43,63,171],"the":[5,10,18,34,38,68,104,115,130,143,148,152,156,169],"most":[6],"important":[7,61],"techniques":[8],"in":[9,27,71,82,103,114],"remote":[11],"sensing":[12],"image":[13,132],"analysis.":[14],"In":[15,30,86,118],"recent":[16],"years,":[17],"nonnegative":[19],"matrix":[20],"factorization":[21],"(NMF)":[22],"method":[23],"widely":[25],"used":[26],"hyperspectral":[28,65,131],"unmixing.":[29],"order":[31],"to":[32,98,128,133,142],"solve":[33],"nonconvex":[35],"problem":[36],"NMF":[39,49,96],"method,":[40,120,173],"a":[41,64,72,91,121],"number":[42],"constraints":[44,58,139],"have":[45,167],"been":[46],"introduced":[47],"into":[48],"models,":[50],"including":[51],"sparsity,":[52],"manifold,":[53],"smoothness,":[54],"etc.":[55],"However,":[56],"these":[57],"ignore":[59],"an":[60],"property":[62],"image,":[66],"i.e.,":[67],"spectral":[69],"responses":[70],"homogeneous":[73,84,135],"region":[74,106,153],"are":[75,140],"similar":[76],"at":[77],"each":[78],"pixel":[79],"but":[80],"vary":[81],"different":[83,109],"regions.":[85,136,159],"this":[87,119,172],"paper,":[88],"we":[89],"introduce":[90],"novel":[92],"region-based":[93],"structure":[94],"preserving":[95],"(R-NMF)":[97],"explore":[99],"consistent":[100],"data":[101,110,166],"distribution":[102],"same":[105],"while":[107,154],"discriminating":[108,155],"structures":[111],"across":[112],"regions":[113],"unmixed":[116],"data.":[117],"graph":[122],"cut":[123],"algorithm":[124],"first":[126],"applied":[127,141],"segment":[129],"small":[134],"Then,":[137],"two":[138],"model,":[145],"which":[146],"preserve":[147],"structural":[149],"consistency":[150],"within":[151],"differences":[157],"between":[158],"Results":[160],"on":[161],"both":[162],"synthetic":[163],"and":[164,174],"real":[165],"validated":[168],"effectiveness":[170],"shown":[175],"that":[176],"it":[177],"has":[178],"outperformed":[179],"several":[180],"state-of-the-art":[181],"approaches.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}