{"id":"https://openalex.org/W2513087981","doi":"https://doi.org/10.1109/icip.2016.7532678","title":"Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing","display_name":"Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2513087981","doi":"https://doi.org/10.1109/icip.2016.7532678","mag":"2513087981"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://hdl.handle.net/10072/124192","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","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, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"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/A5101564188","display_name":"Lei Tong","orcid":"https://orcid.org/0000-0002-8904-3810"},"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":"Lei Tong","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066838824","display_name":"Xun Yu","orcid":"https://orcid.org/0000-0002-1780-7711"},"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":"Xun Yu","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101698096","display_name":"Jianhui Guo","orcid":"https://orcid.org/0000-0001-5266-1423"},"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":"Jianhui Guo","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832764","display_name":"Chunxia Zhao","orcid":"https://orcid.org/0000-0001-6134-4251"},"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":"Chunxia Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"401","issue":null,"first_page":"1848","last_page":"1852"},"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":0.9937000274658203,"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":0.9871000051498413,"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":0.9664262533187866},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.9232826232910156},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8727062940597534},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6646157503128052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6568590402603149},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5912745594978333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5722468495368958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5655236840248108},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5165845155715942},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.5085364580154419},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36864227056503296}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9664262533187866},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.9232826232910156},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8727062940597534},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6646157503128052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6568590402603149},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5912745594978333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5722468495368958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5655236840248108},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5165845155715942},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.5085364580154419},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36864227056503296},{"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/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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7532678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/124192","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/124192","pdf_url":"http://hdl.handle.net/10072/124192","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"pmh:oai:research-repository.griffith.edu.au:10072/124192","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/124192","pdf_url":"http://hdl.handle.net/10072/124192","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2513087981.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W81594759","https://openalex.org/W189327743","https://openalex.org/W1555549210","https://openalex.org/W1902027874","https://openalex.org/W2010797000","https://openalex.org/W2029786966","https://openalex.org/W2032944446","https://openalex.org/W2043651068","https://openalex.org/W2063069198","https://openalex.org/W2098295833","https://openalex.org/W2101837437","https://openalex.org/W2114486983","https://openalex.org/W2127062304","https://openalex.org/W2146398330","https://openalex.org/W2154455818","https://openalex.org/W2156787910","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2295820431","https://openalex.org/W2295844708","https://openalex.org/W4233760599","https://openalex.org/W6633261909","https://openalex.org/W6681815949","https://openalex.org/W6682494755"],"related_works":["https://openalex.org/W2037328426","https://openalex.org/W1990914742","https://openalex.org/W2891033441","https://openalex.org/W2006559622","https://openalex.org/W2315521504","https://openalex.org/W3106536224","https://openalex.org/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2898368675"],"abstract_inverted_index":{"Hyperspectral":[0],"unmixing":[1,133],"is":[2,76,109],"an":[3,17],"important":[4],"technique":[5],"for":[6,28],"identifying":[7],"the":[8,34,47,51,69,99,124,127],"constituent":[9],"spectra":[10],"and":[11,89,119],"estimating":[12],"their":[13],"corresponding":[14],"fractions":[15],"in":[16],"image.":[18],"Nonnegative":[19,63],"Matrix":[20,64],"Factorization":[21,65],"(NMF)":[22],"has":[23],"recently":[24],"been":[25],"widely":[26],"used":[27],"hyperspectral":[29,38,73],"unmixing.":[30],"However,":[31],"due":[32],"to":[33,67,84],"complex":[35],"distribution":[36],"of":[37,50,72,92,101,126],"data,":[39],"most":[40,102],"existing":[41],"NMF":[42],"algorithms":[43],"cannot":[44],"adequately":[45],"reflect":[46],"intrinsic":[48],"relationship":[49],"data.":[52,74],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58,106],"novel":[59],"method,":[60],"Structured":[61],"Discriminative":[62],"(SDNMF),":[66],"preserve":[68],"structural":[70],"information":[71],"This":[75],"achieved":[77],"by":[78],"introducing":[79],"structured":[80],"discriminative":[81],"regularization":[82],"terms":[83],"model":[85],"both":[86,117],"local":[87],"affinity":[88],"distant":[90],"repulsion":[91],"observed":[93],"spectral":[94],"responses.":[95],"Moreover,":[96],"considering":[97],"that":[98],"abundances":[100],"materials":[103],"are":[104],"sparse,":[105],"sparseness":[107],"constraint":[108],"also":[110],"introduced":[111],"into":[112],"SDNMF.":[113],"Experimental":[114],"results":[115],"on":[116],"synthetic":[118],"real":[120],"data":[121],"have":[122],"validated":[123],"effectiveness":[125],"proposed":[128],"method":[129],"which":[130],"achieves":[131],"better":[132],"performance":[134],"than":[135],"several":[136],"alternative":[137],"approaches.":[138]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
