{"id":"https://openalex.org/W2130004846","doi":"https://doi.org/10.1109/whispers.2009.5289096","title":"Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification","display_name":"Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2130004846","doi":"https://doi.org/10.1109/whispers.2009.5289096","mag":"2130004846"},"language":"en","primary_location":{"id":"doi:10.1109/whispers.2009.5289096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5039745413","display_name":"Keng-Hao Liu","orcid":"https://orcid.org/0000-0001-9358-6511"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keng-Hao Liu","raw_affiliation_strings":["Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091902156","display_name":"Englin Wong","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Englin Wong","raw_affiliation_strings":["Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111906399","display_name":"Chein-I Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]},{"id":"https://openalex.org/I162838928","display_name":"National Chung Hsing University","ror":"https://ror.org/05vn3ca78","country_code":"TW","type":"education","lineage":["https://openalex.org/I162838928"]}],"countries":["TW","US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Chung Hsing University, Taichung, Taiwan","institution_ids":["https://openalex.org/I162838928"]},{"raw_affiliation_string":"Remote Sensing Signal and Image Processing Laboratory, the Department of Computer Science and Electrical Engineering Department, University of Maryland, Baltimore, MD, USA","institution_ids":["https://openalex.org/I126744593"]}]}],"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":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9803000092506409,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9697999954223633,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8161526918411255},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7219834923744202},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5808297395706177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5212015509605408},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5096466541290283},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5051367878913879},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4957026243209839},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4754773676395416},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.46848997473716736},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.4618804156780243},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4515218138694763},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.44596895575523376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4189842939376831},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2800813317298889},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14157822728157043},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.12922382354736328},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0993340015411377},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08896103501319885}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8161526918411255},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7219834923744202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5808297395706177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5212015509605408},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5096466541290283},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5051367878913879},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4957026243209839},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4754773676395416},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.46848997473716736},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.4618804156780243},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4515218138694763},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.44596895575523376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4189842939376831},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2800813317298889},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14157822728157043},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.12922382354736328},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0993340015411377},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08896103501319885},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/whispers.2009.5289096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/whispers.2009.5289096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","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":8,"referenced_works":["https://openalex.org/W2025649718","https://openalex.org/W2107014267","https://openalex.org/W2117741752","https://openalex.org/W2127062304","https://openalex.org/W2136134691","https://openalex.org/W2140219630","https://openalex.org/W2164535280","https://openalex.org/W4248253651"],"related_works":["https://openalex.org/W1984421104","https://openalex.org/W2512565647","https://openalex.org/W2001772920","https://openalex.org/W2393746448","https://openalex.org/W2905418897","https://openalex.org/W2534878021","https://openalex.org/W2398887903","https://openalex.org/W1985034083","https://openalex.org/W3093470103","https://openalex.org/W1998640076"],"abstract_inverted_index":{"Linear":[0],"spectral":[1],"mixture":[2],"analysis":[3,23],"(LSMA)":[4],"has":[5],"been":[6],"widely":[7],"used":[8,28],"in":[9,20,36],"remote":[10],"sensing":[11],"community.":[12],"Recently,":[13],"kernel-based":[14,44],"approaches":[15],"have":[16],"received":[17],"considerable":[18],"interest":[19],"hyperspectral":[21],"image":[22],"where":[24,46],"nonlinear":[25,34],"kernels":[26],"are":[27,69],"to":[29,43,71],"resolve":[30],"the":[31,41],"issue":[32],"of":[33],"separability":[35],"classification.":[37],"This":[38],"paper":[39],"extends":[40],"LSMA":[42,45,50],"three":[47],"least":[48,52,60,66],"squares-based":[49],"techniques,":[51],"squares":[53,61,67],"orthogonal":[54],"subspace":[55],"projection":[56],"(LSOSP),":[57],"non-negativity":[58],"constrained":[59,65],"(NCLS)":[62],"and":[63,77],"fully":[64],"(FCLS)":[68],"extended":[70],"their":[72],"kernel":[73],"counterparts,":[74],"KLSOSP,":[75],"KNCLS":[76],"KFCLS.":[78]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}