{"id":"https://openalex.org/W1965888395","doi":"https://doi.org/10.1109/tgrs.2014.2322862","title":"An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing","display_name":"An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing","publication_year":2014,"publication_date":"2014-06-27","ids":{"openalex":"https://openalex.org/W1965888395","doi":"https://doi.org/10.1109/tgrs.2014.2322862","mag":"1965888395"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2014.2322862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2322862","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/A5101420555","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-7370-5998"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China","School of Computer Science, Wuhan University Wuhan China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University Wuhan China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","[Remote Sensing Group, Wuhan University, Wuhan, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"[Remote Sensing Group, Wuhan University, Wuhan, China]","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115603648","display_name":"Lifu Zhang","orcid":"https://orcid.org/0000-0002-3533-9966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifu Zhang","raw_affiliation_strings":["Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Group, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Sciences, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.3397,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97055043,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"53","issue":"1","first_page":"416","last_page":"428"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9894999861717224,"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":0.9878000020980835,"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":0.9360811114311218},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.8369150757789612},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.8314590454101562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6508676409721375},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5808585286140442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712229013442993},{"id":"https://openalex.org/keywords/abundance","display_name":"Abundance (ecology)","score":0.5636533498764038},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5564661622047424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5332813858985901},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5026819705963135},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.44832319021224976},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.43424129486083984},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4195083677768707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.367410808801651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3440873622894287},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.32149454951286316},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.27697044610977173},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19154807925224304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18947654962539673},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0755901038646698},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.07391956448554993}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9360811114311218},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.8369150757789612},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8314590454101562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6508676409721375},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5808585286140442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712229013442993},{"id":"https://openalex.org/C77077793","wikidata":"https://www.wikidata.org/wiki/Q336019","display_name":"Abundance (ecology)","level":2,"score":0.5636533498764038},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5564661622047424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5332813858985901},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5026819705963135},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.44832319021224976},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.43424129486083984},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4195083677768707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.367410808801651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3440873622894287},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.32149454951286316},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.27697044610977173},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19154807925224304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18947654962539673},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0755901038646698},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.07391956448554993},{"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},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2014.2322862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2014.2322862","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":[],"awards":[{"id":"https://openalex.org/G3084468635","display_name":"\u7aef\u5143\u53ef\u53d8\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u4e9a\u50cf\u5143\u76ee\u6807\u63a2\u6d4b\u7814\u7a76","funder_award_id":"61102128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4118196109","display_name":null,"funder_award_id":"2012CB719905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6933362682","display_name":null,"funder_award_id":"2011CB707105","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8830713494","display_name":null,"funder_award_id":"211-274175","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W163964356","https://openalex.org/W655490612","https://openalex.org/W1532610010","https://openalex.org/W1548802052","https://openalex.org/W1555549210","https://openalex.org/W1976615758","https://openalex.org/W1991460577","https://openalex.org/W2000057915","https://openalex.org/W2005818237","https://openalex.org/W2010797000","https://openalex.org/W2016201611","https://openalex.org/W2019249717","https://openalex.org/W2032944446","https://openalex.org/W2045512849","https://openalex.org/W2050041778","https://openalex.org/W2065548527","https://openalex.org/W2070424424","https://openalex.org/W2072572576","https://openalex.org/W2073786624","https://openalex.org/W2081555128","https://openalex.org/W2089298795","https://openalex.org/W2098295833","https://openalex.org/W2099301440","https://openalex.org/W2099741732","https://openalex.org/W2101837437","https://openalex.org/W2102159812","https://openalex.org/W2107222994","https://openalex.org/W2109006918","https://openalex.org/W2112109082","https://openalex.org/W2113125088","https://openalex.org/W2114486983","https://openalex.org/W2115059240","https://openalex.org/W2116854683","https://openalex.org/W2121123096","https://openalex.org/W2125678373","https://openalex.org/W2130835014","https://openalex.org/W2133069808","https://openalex.org/W2135029798","https://openalex.org/W2140318696","https://openalex.org/W2140501674","https://openalex.org/W2141606597","https://openalex.org/W2144492104","https://openalex.org/W2146148434","https://openalex.org/W2156787910","https://openalex.org/W2157321686","https://openalex.org/W2160177263","https://openalex.org/W2162888866","https://openalex.org/W2163886442","https://openalex.org/W2165755981","https://openalex.org/W2169070378","https://openalex.org/W2169466597","https://openalex.org/W2295820431","https://openalex.org/W2583884964","https://openalex.org/W3122463936","https://openalex.org/W3161739339","https://openalex.org/W4205778870","https://openalex.org/W4233760599","https://openalex.org/W4248253651","https://openalex.org/W6633261909","https://openalex.org/W6679756777","https://openalex.org/W6680012447","https://openalex.org/W6680770193","https://openalex.org/W6685154513","https://openalex.org/W7056770374"],"related_works":["https://openalex.org/W2089298795","https://openalex.org/W2773002387","https://openalex.org/W1980988957","https://openalex.org/W2766484909","https://openalex.org/W2802800261","https://openalex.org/W2390344110","https://openalex.org/W1992367803","https://openalex.org/W2046761971","https://openalex.org/W2364896863","https://openalex.org/W2163867257"],"abstract_inverted_index":{"Independent":[0],"component":[1],"analysis":[2],"(ICA)":[3],"has":[4],"been":[5],"recently":[6],"applied":[7],"into":[8],"hyperspectral":[9,32,60,80],"unmixing":[10,61,81],"as":[11],"a":[12,78],"result":[13],"of":[14,72,91],"its":[15,20],"low":[16],"computation":[17],"time":[18],"and":[19,47,75,97,122,140],"ability":[21],"to":[22,113],"perform":[23],"without":[24],"prior":[25],"information.":[26],"However,":[27],"when":[28],"applying":[29],"ICA":[30,39,87],"for":[31],"unmixing,":[33],"the":[34,38,43,48,53,59,92,98,115,120,128,134],"independence":[35],"assumption":[36],"in":[37,52,138],"model":[40,99],"conflicts":[41],"with":[42,83],"abundance":[44,49,69,85,93,139],"sum-to-one":[45],"constraint":[46,51],"nonnegative":[50],"linear":[54],"mixture":[55],"model,":[56],"which":[57],"affects":[58],"accuracy.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66,76],"consider":[67],"an":[68,84],"matrix":[70],"composed":[71],"Np-dimensional":[73],"variables,":[74],"propose":[77],"new":[79],"approach":[82],"characteristic-based":[86],"model.":[88],"Two":[89],"characteristics":[90],"variables":[94],"are":[95],"explored,":[96],"is":[100,110],"constructed":[101],"by":[102],"these":[103],"characteristics.":[104],"A":[105],"corresponding":[106],"gradient":[107],"descent":[108],"algorithm":[109],"also":[111],"proposed":[112,116,129],"solve":[114],"objective":[117],"function.":[118],"Both":[119],"synthetic":[121],"real":[123],"experimental":[124],"results":[125],"demonstrate":[126],"that":[127],"method":[130],"performs":[131],"better":[132],"than":[133],"other":[135],"state-of-the-art":[136],"methods":[137],"endmember":[141],"extraction.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
