{"id":"https://openalex.org/W4312260135","doi":"https://doi.org/10.1109/tgrs.2022.3228231","title":"Endmember Purification With Affine Simplicial Cone Model","display_name":"Endmember Purification With Affine Simplicial Cone Model","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312260135","doi":"https://doi.org/10.1109/tgrs.2022.3228231"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3228231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3228231","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/A5056153465","display_name":"Wenfei Luo","orcid":"https://orcid.org/0000-0002-7238-0044"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenfei Luo","raw_affiliation_strings":["School of Geographical Science, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geographical Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066378186","display_name":"Lianru Gao","orcid":"https://orcid.org/0000-0003-3888-8124"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianru Gao","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075013625","display_name":"Danfeng Hong","orcid":"https://orcid.org/0000-0002-3212-9584"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hong","raw_affiliation_strings":["Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106124934","display_name":"Jocelyn Chanussot","orcid":"https://orcid.org/0000-0003-4817-2875"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I106785703","display_name":"Institut polytechnique de Grenoble","ror":"https://ror.org/05sbt2524","country_code":"FR","type":"education","lineage":["https://openalex.org/I106785703","https://openalex.org/I899635006"]},{"id":"https://openalex.org/I4210124956","display_name":"Grenoble Images Parole Signal Automatique","ror":"https://ror.org/02wrme198","country_code":"FR","type":"facility","lineage":["https://openalex.org/I106785703","https://openalex.org/I1294671590","https://openalex.org/I4210124956","https://openalex.org/I899635006","https://openalex.org/I899635006"]}],"countries":["CN","FR"],"is_corresponding":false,"raw_author_name":"Jocelyn Chanussot","raw_affiliation_strings":["Centre National de la Recherche Scientifique (CNRS), Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Universit&#x00E9; Grenoble Alpes, Grenoble, France","CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)"],"affiliations":[{"raw_affiliation_string":"Centre National de la Recherche Scientifique (CNRS), Grenoble Institute of Technology (Grenoble INP), GIPSA-Lab, Universit&#x00E9; Grenoble Alpes, Grenoble, France","institution_ids":["https://openalex.org/I106785703","https://openalex.org/I4210124956","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CAS - Chinese Academy of Sciences [Beijing] (52 Sanlihe Rd., Beijing, 100864 - China)","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056153465"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":0.2201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56788567,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"23"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9976999759674072,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.9600342512130737},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9005041122436523},{"id":"https://openalex.org/keywords/uniqueness","display_name":"Uniqueness","score":0.5704951286315918},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5552253723144531},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.5378496050834656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47903481125831604},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.44751477241516113},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44475552439689636},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.41013506054878235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39906471967697144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386017769575119},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.27816104888916016}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.9600342512130737},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9005041122436523},{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.5704951286315918},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5552253723144531},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.5378496050834656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47903481125831604},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.44751477241516113},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44475552439689636},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.41013506054878235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39906471967697144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386017769575119},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.27816104888916016},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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":2,"locations":[{"id":"doi:10.1109/tgrs.2022.3228231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3228231","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"},{"id":"pmh:oai:HAL:hal-03932885v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03932885","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ieeexplore.ieee.org/document/9978663","raw_type":"Journal articles"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[{"id":"https://openalex.org/G7319362469","display_name":null,"funder_award_id":"40901232","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8656900505","display_name":null,"funder_award_id":"61673184","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W360528349","https://openalex.org/W1536019064","https://openalex.org/W1561443783","https://openalex.org/W1608180792","https://openalex.org/W1650958574","https://openalex.org/W1755724306","https://openalex.org/W1902016676","https://openalex.org/W1963659868","https://openalex.org/W1968154520","https://openalex.org/W1972293418","https://openalex.org/W1974512955","https://openalex.org/W1976615758","https://openalex.org/W1986817851","https://openalex.org/W2005818237","https://openalex.org/W2009576740","https://openalex.org/W2012749606","https://openalex.org/W2028781966","https://openalex.org/W2029786966","https://openalex.org/W2032944446","https://openalex.org/W2037328426","https://openalex.org/W2065991620","https://openalex.org/W2070135644","https://openalex.org/W2070424424","https://openalex.org/W2075665712","https://openalex.org/W2084252873","https://openalex.org/W2094808655","https://openalex.org/W2095343758","https://openalex.org/W2118943995","https://openalex.org/W2119886624","https://openalex.org/W2125298866","https://openalex.org/W2129732816","https://openalex.org/W2137410567","https://openalex.org/W2151554678","https://openalex.org/W2157321686","https://openalex.org/W2163886442","https://openalex.org/W2166485459","https://openalex.org/W2169466597","https://openalex.org/W2330747182","https://openalex.org/W2490201121","https://openalex.org/W2506064001","https://openalex.org/W2566771666","https://openalex.org/W2593819072","https://openalex.org/W2604977491","https://openalex.org/W2605327034","https://openalex.org/W2606412288","https://openalex.org/W2752365628","https://openalex.org/W2755992512","https://openalex.org/W2791154158","https://openalex.org/W2804745821","https://openalex.org/W2893348249","https://openalex.org/W2910655660","https://openalex.org/W2916521421","https://openalex.org/W2924113356","https://openalex.org/W2924185635","https://openalex.org/W2950428253","https://openalex.org/W2954785041","https://openalex.org/W2964257934","https://openalex.org/W2988699317","https://openalex.org/W3002092414","https://openalex.org/W3002098459","https://openalex.org/W3008338187","https://openalex.org/W3011310901","https://openalex.org/W3024505451","https://openalex.org/W3031385348","https://openalex.org/W3033726399","https://openalex.org/W3080654851","https://openalex.org/W3088589135","https://openalex.org/W3100202987","https://openalex.org/W3101195009","https://openalex.org/W3101253503","https://openalex.org/W3104256134","https://openalex.org/W3110749113","https://openalex.org/W3121070394","https://openalex.org/W3122463936","https://openalex.org/W3149942599","https://openalex.org/W3154512708","https://openalex.org/W3160425084","https://openalex.org/W3166330239","https://openalex.org/W3211698988","https://openalex.org/W4206259850","https://openalex.org/W4211249244","https://openalex.org/W4248253651","https://openalex.org/W4285269366","https://openalex.org/W4286377452","https://openalex.org/W4295190264","https://openalex.org/W4392677642","https://openalex.org/W6622389273","https://openalex.org/W6630730647","https://openalex.org/W6631434998"],"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/W2890371384","https://openalex.org/W2051769241","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2315521504"],"abstract_inverted_index":{"An":[0],"important":[1],"task":[2],"of":[3,11,99,111,122,128,178],"spectral":[4],"unmixing":[5,185],"is":[6,22,180],"to":[7,40,77,93,140,168,182],"recover":[8,61,141],"the":[9,62,72,95,109,119,126,176,183,190,196,206,210,214],"signatures":[10],"endmembers":[12,63,124],"from":[13],"a":[14,85],"hyperspectral":[15,198,218],"dataset":[16],"in":[17],"which":[18],"no":[19],"pure":[20],"signature":[21],"exposed.":[23],"Most":[24],"algorithms":[25,186],"are":[26],"based":[27],"on":[28,118,132],"linear":[29],"mixing":[30],"model":[31,42,102,112,208],"and":[32,52,107,125,153,209],"require":[33],"that":[34,175,205],"data":[35,45,219],"should":[36],"be":[37,48,75,151,157],"sufficiently":[38,50],"scattered":[39,49],"guarantee":[41],"uniqueness.":[43,113,130],"However,":[44],"may":[46,74],"not":[47,187],"enough":[51],"become":[53],"incomplete.":[54],"In":[55,145],"this":[56,146,170],"case,":[57],"can":[58,150,156,203],"we":[59,67,83,115,134,161],"still":[60],"accurately?":[64],"Moreover,":[65],"if":[66],"wrongly":[68],"estimate":[69],"an":[70,136,163],"endmember,":[71],"error":[73,120,148],"propagated":[76],"other":[78],"endmembers.":[79],"For":[80],"these":[81],"purposes,":[82],"propose":[84],"new":[86],"model,":[87],"namely,":[88],"affine":[89],"simplicial":[90],"cone":[91],"(ASC),":[92],"capture":[94],"local":[96,129,154],"geometric":[97,105],"feature":[98],"data.":[100],"This":[101],"requires":[103],"less":[104],"information":[106],"relaxes":[108],"conditions":[110],"Then,":[114],"present":[116,135],"analyses":[117],"propagation":[121,149],"turbulent":[123],"condition":[127],"Based":[131],"ASC,":[133],"endmember":[137,164],"purification":[138],"problem":[139],"only":[142,188],"one":[143],"endmember.":[144],"way,":[147],"alleviated,":[152],"uniqueness":[155],"easily":[158],"satisfied.":[159],"Finally,":[160],"develop":[162],"purifying":[165],"algorithm":[166,212],"(EPA)":[167],"solve":[169],"problem.":[171],"Our":[172],"experiments":[173],"demonstrate":[174],"performance":[177],"EPA":[179,211],"competitive":[181],"state-of-the-art":[184],"for":[189,195,217],"synthetic":[191],"datasets":[192],"but":[193],"also":[194],"real":[197],"remote":[199],"sensing":[200],"datasets.":[201],"We":[202],"conclude":[204],"ASC":[207],"have":[213],"potential":[215],"capability":[216],"exploration.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
