{"id":"https://openalex.org/W2137052100","doi":"https://doi.org/10.1109/lgrs.2010.2049334","title":"Nonlinear Spectral Mixture Analysis for Hyperspectral Imagery in an Unknown Environment","display_name":"Nonlinear Spectral Mixture Analysis for Hyperspectral Imagery in an Unknown Environment","publication_year":2010,"publication_date":"2010-06-07","ids":{"openalex":"https://openalex.org/W2137052100","doi":"https://doi.org/10.1109/lgrs.2010.2049334","mag":"2137052100"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2010.2049334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2010.2049334","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","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/A5073614080","display_name":"Nareenart Raksuntorn","orcid":"https://orcid.org/0000-0003-0844-8638"},"institutions":[{"id":"https://openalex.org/I4210105946","display_name":"Suan Sunandha Rajabhat University","ror":"https://ror.org/01sj5ez28","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210105946"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nareenart Raksuntorn","raw_affiliation_strings":["Faculty of Industrial Technology, Suan Sunanta Rajabhat University, Bangkok, Thailand","Fac. of Ind. Technol., Suan Sunandha Rajabhat Univ., Bangkok, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Industrial Technology, Suan Sunanta Rajabhat University, Bangkok, Thailand","institution_ids":["https://openalex.org/I4210105946"]},{"raw_affiliation_string":"Fac. of Ind. Technol., Suan Sunandha Rajabhat Univ., Bangkok, Thailand","institution_ids":["https://openalex.org/I4210105946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033017179","display_name":"Qian Du","orcid":"https://orcid.org/0000-0001-8354-7500"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Du","raw_affiliation_strings":["Department of Electrical and Computer Engineering and the Geosystems Research Institute, High Performance Computing Collaboratory HPC2, Mississippi State University, MS, USA","Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering and the Geosystems Research Institute, High Performance Computing Collaboratory HPC2, Mississippi State University, MS, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS, USA#TAB#","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.39,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.98742871,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":"4","first_page":"836","last_page":"840"},"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":0.9851999878883362,"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":0.985282838344574},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9521782398223877},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8411928415298462},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5847139954566956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5515942573547363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5378192663192749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5210568308830261},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5158907175064087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39340823888778687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3889726996421814},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36554473638534546},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3248950242996216},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08412623405456543}],"concepts":[{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.985282838344574},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9521782398223877},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8411928415298462},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5847139954566956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5515942573547363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5378192663192749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5210568308830261},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5158907175064087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39340823888778687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3889726996421814},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36554473638534546},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3248950242996216},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08412623405456543},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2010.2049334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2010.2049334","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"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 Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.4699999988079071,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1669655639","https://openalex.org/W1987324141","https://openalex.org/W2013062088","https://openalex.org/W2019281621","https://openalex.org/W2060997413","https://openalex.org/W2071249186","https://openalex.org/W2084414195","https://openalex.org/W2086422663","https://openalex.org/W2088249912","https://openalex.org/W2093658531","https://openalex.org/W2101837437","https://openalex.org/W2110456190","https://openalex.org/W2120627814","https://openalex.org/W2123106258","https://openalex.org/W2127062304","https://openalex.org/W2127431974","https://openalex.org/W2128462828","https://openalex.org/W2133782497","https://openalex.org/W2142795701","https://openalex.org/W2144881411","https://openalex.org/W2147712562","https://openalex.org/W2151554882","https://openalex.org/W2170406089"],"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/W2315521504","https://openalex.org/W2563324120","https://openalex.org/W2040756827","https://openalex.org/W2051769241"],"abstract_inverted_index":{"Nonlinear":[0],"spectral":[1],"mixture":[2,21,89,102],"analysis":[3,47],"for":[4,53,111],"hyperspectral":[5],"imagery":[6],"is":[7,23,48],"investigated":[8],"without":[9],"prior":[10],"information":[11],"about":[12],"the":[13,26,70,81,88,97,107],"image":[14],"scene.":[15],"A":[16],"simple":[17],"but":[18],"effective":[19],"nonlinear":[20,62],"model":[22,103],"adopted,":[24],"where":[25],"multiplication":[27],"of":[28,31,61,80,90,96,122],"each":[29,112],"pair":[30],"endmembers":[32,82],"results":[33],"in":[34,66,87,120],"a":[35,58,91],"virtual":[36],"endmember":[37,99,109],"representing":[38],"multiple":[39],"scattering":[40],"effect":[41],"during":[42],"pixel":[43,124,132],"construction":[44],"process.":[45],"The":[46],"followed":[49],"by":[50],"linear":[51,101],"unmixing":[52],"abundance":[54,72,118],"estimation.":[55],"Due":[56],"to":[57,105],"large":[59],"number":[60],"terms":[63,121],"being":[64],"added":[65],"an":[67],"unknown":[68],"environment,":[69],"following":[71],"estimation":[73,119],"may":[74],"contain":[75],"some":[76],"errors":[77],"if":[78],"most":[79],"do":[83],"not":[84],"really":[85],"participate":[86],"pixel.":[92],"We":[93],"take":[94],"advantage":[95],"developed":[98],"variable":[100],"(EVLMM)":[104],"search":[106],"actual":[108],"set":[110],"pixel,":[113],"which":[114],"yields":[115],"more":[116,131],"accurate":[117],"smaller":[123,127],"reconstruction":[125],"error,":[126],"residual":[128],"counts,":[129],"and":[130,136],"abundances":[133],"satisfying":[134],"sum-to-one":[135],"nonnegativity":[137],"constraints.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":9},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}