{"id":"https://openalex.org/W1985728473","doi":"https://doi.org/10.1109/igarss.2012.6350775","title":"Collaborative nonnegative matrix factorization for remotely sensed hyperspectral unmixing","display_name":"Collaborative nonnegative matrix factorization for remotely sensed hyperspectral unmixing","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W1985728473","doi":"https://doi.org/10.1109/igarss.2012.6350775","mag":"1985728473"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6350775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":null,"type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES","PT"],"is_corresponding":true,"raw_author_name":"Jun Li","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Caceres, Spain","Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico TU Lisbon, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]},{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico TU Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017508063","display_name":"Jos\u00e9 M. Bioucas\u2010Dias","orcid":"https://orcid.org/0000-0002-0166-5149"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":null,"type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jose M. Bioucas-Dias","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico TU Lisbon, Lisboa, Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es, Instituto Superior T\u00e9cnico TU Lisbon, Lisboa, Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054292278","display_name":"Antonio Plaza","orcid":"https://orcid.org/0000-0002-9613-1659"},"institutions":[{"id":"https://openalex.org/I80606768","display_name":"Universidad de Extremadura","ror":"https://ror.org/0174shg90","country_code":"ES","type":"education","lineage":["https://openalex.org/I80606768"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio Plaza","raw_affiliation_strings":["Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Caceres, Spain"],"affiliations":[{"raw_affiliation_string":"Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura, Caceres, Spain","institution_ids":["https://openalex.org/I80606768"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100362041"],"corresponding_institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I4387152517","https://openalex.org/I80606768"],"apc_list":null,"apc_paid":null,"fwci":3.0604,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.91470691,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3078","last_page":"3081"},"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":0.9969000220298767,"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":0.993399977684021,"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/endmember","display_name":"Endmember","score":0.9911189079284668},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8933290243148804},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.8112851977348328},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.743292510509491},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.676346480846405},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6700495481491089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.629112184047699},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5303500294685364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4800868630409241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4312545657157898},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.415225088596344},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.11195105314254761}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9911189079284668},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8933290243148804},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.8112851977348328},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.743292510509491},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.676346480846405},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6700495481491089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.629112184047699},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5303500294685364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4800868630409241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4312545657157898},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.415225088596344},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.11195105314254761},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6350775","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6350775","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","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":20,"referenced_works":["https://openalex.org/W1976615758","https://openalex.org/W1988854580","https://openalex.org/W1991480333","https://openalex.org/W2000605727","https://openalex.org/W2016546886","https://openalex.org/W2021755911","https://openalex.org/W2050041778","https://openalex.org/W2070424424","https://openalex.org/W2081555128","https://openalex.org/W2101837437","https://openalex.org/W2118943995","https://openalex.org/W2119886624","https://openalex.org/W2122976738","https://openalex.org/W2125678373","https://openalex.org/W2156458885","https://openalex.org/W2157321686","https://openalex.org/W2165755981","https://openalex.org/W2295820431","https://openalex.org/W2406093411","https://openalex.org/W4233760599"],"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/W2890371384","https://openalex.org/W2773863718","https://openalex.org/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2898368675"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"develop":[4],"a":[5,21,30,63,73,137],"new":[6],"algorithm":[7,26],"for":[8],"hyperspectral":[9],"unmixing":[10],"which":[11,77],"can":[12,43],"provide":[13],"suitable":[14],"endmembers":[15,40,57,85,97,109],"(and":[16],"their":[17],"corresponding":[18,81],"abundances)":[19],"in":[20,51,113,128],"single":[22],"step.":[23],"Hence,":[24],"the":[25,37,46,54,79,83,95,103,106,121,130],"does":[27],"not":[28,111,135],"require":[29],"previous":[31],"subspace":[32],"identification":[33],"step":[34],"to":[35,82,86],"estimate":[36],"number":[38,55,107,131],"of":[39,56,105,108,132],"as":[41],"it":[42,90],"cope":[44],"with":[45],"two":[47],"most":[48],"likely":[49],"scenarios":[50],"practice":[52],"(i.e.,":[53],"is":[58,91,110,134],"correctly":[59],"determined":[60],"or":[61],"overestimated":[62,84],"priori).":[64],"The":[65,115],"proposed":[66,122],"approach,":[67],"termed":[68],"collaborative":[69,74],"NMF":[70],"(CoNMF),":[71],"uses":[72],"regularization":[75],"prior":[76],"forces":[78],"abundances":[80],"zero,":[87],"such":[88],"that":[89,93,120],"guaranteed":[92],"only":[94],"true":[96],"have":[98],"fractional":[99],"abundance":[100],"contributions":[101],"and":[102],"estimation":[104],"required":[112],"advance.":[114],"obtained":[116],"experimental":[117],"results":[118],"demonstrate":[119],"method":[123],"exhibits":[124],"very":[125],"good":[126],"performance":[127],"case":[129],"endmember":[133],"available":[136],"priori.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-12-11T23:09:37.256380","created_date":"2025-10-10T00:00:00"}