{"id":"https://openalex.org/W2990812044","doi":"https://doi.org/10.3390/rs11232823","title":"Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification","display_name":"Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification","publication_year":2019,"publication_date":"2019-11-28","ids":{"openalex":"https://openalex.org/W2990812044","doi":"https://doi.org/10.3390/rs11232823","mag":"2990812044"},"language":"en","primary_location":{"id":"doi:10.3390/rs11232823","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232823","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2823/pdf?version=1574936484","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/23/2823/pdf?version=1574936484","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037075182","display_name":"Bing Tu","orcid":"https://orcid.org/0000-0001-5802-9496"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Tu","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012200895","display_name":"Chengle Zhou","orcid":"https://orcid.org/0000-0003-3107-5446"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengle Zhou","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101485543","display_name":"Peng Jin","orcid":"https://orcid.org/0000-0002-7615-8483"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Peng","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101588657","display_name":"Wei He","orcid":"https://orcid.org/0000-0003-4603-5615"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei He","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012975538","display_name":"Xianfeng Ou","orcid":"https://orcid.org/0000-0003-4419-7362"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Ou","raw_affiliation_strings":["School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hunan Institute of Science and Technology, Yueyang 414000, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089327541","display_name":"Zhi Xu","orcid":"https://orcid.org/0000-0001-8665-1020"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Xu","raw_affiliation_strings":["Guangxi Key Laboratory of Images and Graphics Intelligent Processing, Guilin University of Electronics Technology, Guilin 541000, China"],"affiliations":[{"raw_affiliation_string":"Guangxi Key Laboratory of Images and Graphics Intelligent Processing, Guilin University of Electronics Technology, Guilin 541000, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101588657"],"corresponding_institution_ids":["https://openalex.org/I100286613"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.0878,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81812504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"11","issue":"23","first_page":"2823","last_page":"2823"},"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":0.9807000160217285,"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":0.9732000231742859,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7292063236236572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6853031516075134},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5894212126731873},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5562915205955505},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5410709381103516},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5162193775177002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5017056465148926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.501579761505127},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.42082899808883667}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7292063236236572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6853031516075134},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5894212126731873},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5562915205955505},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5410709381103516},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5162193775177002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5017056465148926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.501579761505127},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.42082899808883667},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs11232823","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232823","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2823/pdf?version=1574936484","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/23/2823/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11232823","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 23; Pages: 2823","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11232823","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11232823","pdf_url":"https://www.mdpi.com/2072-4292/11/23/2823/pdf?version=1574936484","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6299999952316284,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1245566906","display_name":null,"funder_award_id":"61977022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G231249655","display_name":null,"funder_award_id":"51704115","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2560648409","display_name":null,"funder_award_id":"and 51","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4322189514","display_name":null,"funder_award_id":"2018TP2022","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G4796027962","display_name":null,"funder_award_id":"CX2018B771","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"},{"id":"https://openalex.org/G537194147","display_name":null,"funder_award_id":"2018TP2022","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6869228768","display_name":null,"funder_award_id":"17C0174","funder_id":"https://openalex.org/F4320311213","funder_display_name":"Education Department of Hunan Province"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8208342437","display_name":null,"funder_award_id":"1 and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8517968237","display_name":null,"funder_award_id":"CX20190914","funder_id":"https://openalex.org/F4320326217","funder_display_name":"Hunan Provincial Innovation Foundation for Postgraduate"}],"funders":[{"id":"https://openalex.org/F4320311213","display_name":"Education Department of Hunan Province","ror":"https://ror.org/05ckg3w11"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326217","display_name":"Hunan Provincial Innovation Foundation for Postgraduate","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2990812044.pdf","grobid_xml":"https://content.openalex.org/works/W2990812044.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1799946925","https://openalex.org/W1921293667","https://openalex.org/W1939429412","https://openalex.org/W1967320999","https://openalex.org/W1972679354","https://openalex.org/W1976568795","https://openalex.org/W1981536098","https://openalex.org/W1989070508","https://openalex.org/W1994348192","https://openalex.org/W1998030734","https://openalex.org/W2026131661","https://openalex.org/W2064753550","https://openalex.org/W2072500283","https://openalex.org/W2073827457","https://openalex.org/W2084916338","https://openalex.org/W2097915756","https://openalex.org/W2101365302","https://openalex.org/W2103782255","https://openalex.org/W2108597246","https://openalex.org/W2125283600","https://openalex.org/W2129812935","https://openalex.org/W2136251662","https://openalex.org/W2148936814","https://openalex.org/W2153635508","https://openalex.org/W2154506590","https://openalex.org/W2166923144","https://openalex.org/W2212636544","https://openalex.org/W2271716409","https://openalex.org/W2298855392","https://openalex.org/W2312198368","https://openalex.org/W2321547661","https://openalex.org/W2414009677","https://openalex.org/W2494485523","https://openalex.org/W2745791577","https://openalex.org/W2750085043","https://openalex.org/W2789880648","https://openalex.org/W2790946355","https://openalex.org/W2791254153","https://openalex.org/W2799870441","https://openalex.org/W2810874828","https://openalex.org/W2883715112","https://openalex.org/W2884158490","https://openalex.org/W2887702762","https://openalex.org/W2890022946","https://openalex.org/W2892246676","https://openalex.org/W2894763306","https://openalex.org/W2895589541","https://openalex.org/W2897194080","https://openalex.org/W2931239307","https://openalex.org/W2949034001","https://openalex.org/W2969938980","https://openalex.org/W2987079549","https://openalex.org/W3098551073","https://openalex.org/W3131264965"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440"],"abstract_inverted_index":{"Recently,":[0],"the":[1,48,86,90,113,117,122,134,152,159,163,169,176,187,193,208,228,247],"\u201cnoisy":[2],"label\"":[3],"problem":[4],"has":[5],"become":[6],"a":[7,25,32,36,52,69,107,180],"hot":[8],"topic":[9],"in":[10,42,81,141,155,241],"supervised":[11,39,79,248],"classification":[12,40,80,249],"of":[13,38,68,78,85,93,121,171,196,207,243,246,250],"hyperspectral":[14,220],"images":[15],"(HSI).":[16],"Nonetheless,":[17],"how":[18],"to":[19,50,111,137,168,174,191],"effectively":[20],"remove":[21,65],"noisy":[22,60,66,97,194,237],"labels":[23,67,98,195],"from":[24],"training":[26,70,94,139,197],"set":[27,71],"with":[28,72,96,199],"mislabeled":[29,73,200],"samples":[30,74,95,198,201],"is":[31,47,144,166,184,211,232],"nontrivial":[33],"task":[34],"for":[35,59,99,202],"multitude":[37],"methods":[41,240],"HSI":[43],"processing.":[44],"This":[45],"paper":[46],"first":[49],"propose":[51],"kernel":[53,91,123],"entropy":[54,135,148,170],"component":[55,149],"analysis":[56,150],"(KECA)-based":[57],"method":[58,210,231],"label":[61,238],"detection":[62,239],"that":[63,227],"can":[64,102,125],"and":[75,119,158],"improve":[76],"performance":[77,245],"HSI,":[82],"which":[83],"consists":[84],"following":[87],"steps.":[88],"First,":[89],"matrix":[92,124,131],"each":[100,138,142,172,203],"class":[101,143],"be":[103,126],"achieved":[104],"by":[105,128,213],"exploiting":[106],"nonlinear":[108],"mapping":[109],"function":[110,165],"enlarge":[112],"sample":[114,140,173],"separability.":[115],"Then,":[116],"eigenvectors":[118],"eigenvalues":[120,153],"obtained":[127],"employing":[129],"symmetric":[130],"decomposition.":[132],"Next,":[133],"corresponding":[136,160],"calculated":[145],"based":[146],"on":[147,217],"using":[151],"arranged":[154],"descending":[156],"order":[157],"eigenvectors.":[161],"Finally,":[162],"sigmoid":[164],"applied":[167],"obtain":[175],"probability":[177,182,189],"distribution.":[178],"Meanwhile,":[179],"decision":[181],"threshold":[183],"introduced":[185],"into":[186],"above":[188],"distribution":[190],"cleanse":[192],"class.":[204],"The":[205,223],"effectiveness":[206],"proposed":[209,229],"evaluated":[212],"support":[214],"vector":[215],"machines":[216],"several":[218],"real":[219],"data":[221],"sets.":[222],"experimental":[224],"results":[225],"show":[226],"KECA":[230],"more":[233],"efficient":[234],"than":[235],"other":[236],"terms":[242],"improving":[244],"HSI.":[251]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2019-12-05T00:00:00"}
