{"id":"https://openalex.org/W3011406170","doi":"https://doi.org/10.1109/tcyb.2020.2977461","title":"Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image","display_name":"Local Manifold-Based Sparse Discriminant Learning for Feature Extraction of Hyperspectral Image","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W3011406170","doi":"https://doi.org/10.1109/tcyb.2020.2977461","mag":"3011406170","pmid":"https://pubmed.ncbi.nlm.nih.gov/32203046"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2977461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2977461","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033398332","display_name":"Yule Duan","orcid":"https://orcid.org/0000-0002-2505-8730"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yule Duan","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2505-8730","affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829389","display_name":"Hong Huang","orcid":"https://orcid.org/0000-0002-7377-3077"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Huang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7377-3077","affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054919794","display_name":"Zhengying Li","orcid":"https://orcid.org/0000-0002-4600-2795"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengying Li","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033807882","display_name":"Yuxiao Tang","orcid":"https://orcid.org/0009-0001-5863-0174"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiao Tang","raw_affiliation_strings":["Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":6.8069,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96982274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"51","issue":"8","first_page":"4021","last_page":"4034"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.767530620098114},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.7212978601455688},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6843589544296265},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6295025944709778},{"id":"https://openalex.org/keywords/manifold-alignment","display_name":"Manifold alignment","score":0.6001675128936768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5958308577537537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5265541076660156},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.4989039897918701},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4709526002407074},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.4312145709991455},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4263787567615509},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42294520139694214},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4139198958873749},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.388803631067276},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3136466145515442},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23427370190620422},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08119150996208191}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.767530620098114},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.7212978601455688},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6843589544296265},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6295025944709778},{"id":"https://openalex.org/C153120616","wikidata":"https://www.wikidata.org/wiki/Q17068315","display_name":"Manifold alignment","level":4,"score":0.6001675128936768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5958308577537537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5265541076660156},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.4989039897918701},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4709526002407074},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.4312145709991455},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4263787567615509},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42294520139694214},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4139198958873749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.388803631067276},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3136466145515442},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23427370190620422},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08119150996208191},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2977461","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2977461","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:32203046","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32203046","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G103021876","display_name":null,"funder_award_id":"CYB18048","funder_id":"https://openalex.org/F4320321135","funder_display_name":"Chongqing University"}],"funders":[{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W102738991","https://openalex.org/W1904464160","https://openalex.org/W1976359033","https://openalex.org/W1996375822","https://openalex.org/W2045786596","https://openalex.org/W2048281487","https://openalex.org/W2053186076","https://openalex.org/W2070127246","https://openalex.org/W2086693793","https://openalex.org/W2090826137","https://openalex.org/W2097308346","https://openalex.org/W2097900616","https://openalex.org/W2097915756","https://openalex.org/W2103250033","https://openalex.org/W2109531142","https://openalex.org/W2118945875","https://openalex.org/W2135069544","https://openalex.org/W2157872906","https://openalex.org/W2160979406","https://openalex.org/W2190646811","https://openalex.org/W2289917018","https://openalex.org/W2314433345","https://openalex.org/W2331181944","https://openalex.org/W2518045224","https://openalex.org/W2527650001","https://openalex.org/W2558098092","https://openalex.org/W2597644092","https://openalex.org/W2607257436","https://openalex.org/W2742141965","https://openalex.org/W2747744463","https://openalex.org/W2766729074","https://openalex.org/W2793357412","https://openalex.org/W2800955846","https://openalex.org/W2801324747","https://openalex.org/W2890133123","https://openalex.org/W2962702700","https://openalex.org/W2972505576","https://openalex.org/W3014771378","https://openalex.org/W3105085250","https://openalex.org/W6675955514","https://openalex.org/W6676189307","https://openalex.org/W6683194942"],"related_works":["https://openalex.org/W3109610583","https://openalex.org/W2387045723","https://openalex.org/W2375518579","https://openalex.org/W117517268","https://openalex.org/W2944373987","https://openalex.org/W65619410","https://openalex.org/W2112684860","https://openalex.org/W2391701611","https://openalex.org/W2149544245","https://openalex.org/W3011406170"],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"generally":[3],"contains":[4],"a":[5,65,96,149],"complex":[6,57,159],"manifold":[7,22,31,40,61,85,163],"structure":[8,32,62,112,164],"and":[9,24,33,41,60,87,129,132,144,162,168],"strong":[10],"sparse":[11,25,34,42,58,74,88,98,111,118,133,142,160],"correlation":[12],"in":[13,49,165,199],"its":[14],"nonlinear":[15],"high-dimensional":[16,166],"data":[17],"space.":[18],"However,":[19],"the":[20,30,46,50,56,82,108,124,130,158,171,185,192],"existing":[21],"learning":[23,26,76,86],"methods":[27],"usually":[28],"consider":[29],"relationship":[35,126],"separately":[36],"rather":[37],"than":[38],"combining":[39],"properties":[43],"to":[44,106,122,147],"discover":[45],"intrinsic":[47],"information":[48],"original":[51],"data.":[52,114],"To":[53],"simultaneously":[54],"reveal":[55,107],"relation":[59,161],"of":[63,84,113,174],"HSI,":[64],"novel":[66],"feature":[67],"extraction":[68],"(FE)":[69],"method,":[70],"called":[71,101],"local":[72,102,109],"manifold-based":[73,103,110],"discriminant":[75,125],"(LMSDL),":[77],"has":[78],"been":[79],"proposed":[80,193],"on":[81,184],"basis":[83],"representation":[89,172],"(SR).":[90],"The":[91,154,181],"LMSDL":[92,155,194],"method":[93],"first":[94],"designs":[95],"new":[97],"optimization":[99],"model":[100],"SR":[104],"(LMSR)":[105],"Then,":[115],"two":[116],"geometrical":[117,131,141],"graphs":[119,143],"are":[120],"constructed":[121,139],"represent":[123],"between":[127],"samples":[128],"neighbors.":[134],"An":[135],"objective":[136],"function":[137],"is":[138],"via":[140],"reconstruction":[145],"points":[146],"learn":[148],"projection":[150],"matrix":[151],"for":[152,177],"FE.":[153],"effectively":[156],"reveals":[157],"data,":[167],"it":[169],"enhances":[170],"ability":[173],"extracted":[175],"features":[176],"HSI":[178,188],"classification":[179],"significantly.":[180],"experimental":[182],"results":[183],"three":[186],"real":[187],"datasets":[189],"show":[190],"that":[191],"algorithm":[195],"possesses":[196],"better":[197],"performance":[198],"comparison":[200],"with":[201],"some":[202],"state-of-the-art":[203],"FE":[204],"methods.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":16},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}