{"id":"https://openalex.org/W3037112681","doi":"https://doi.org/10.2298/csis191222010z","title":"Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature","display_name":"Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037112681","doi":"https://doi.org/10.2298/csis191222010z","mag":"3037112681"},"language":"en","primary_location":{"id":"doi:10.2298/csis191222010z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis191222010z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000010Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000010Z","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059107732","display_name":"Tianle Zhang","orcid":"https://orcid.org/0000-0003-4881-2406"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianle Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Central South University, Changsha, China","School of Mathematics and Statistics, Central South University 410083 Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Central South University 410083 Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047660471","display_name":"Muzhou Hou","orcid":"https://orcid.org/0000-0001-6658-2187"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muzhou Hou","raw_affiliation_strings":["School of Mathematics and Statistics, Central South University, Changsha, China","School of Mathematics and Statistics, Central South University 410083 Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Central South University 410083 Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087504521","display_name":"Tao Zhou","orcid":"https://orcid.org/0000-0001-9908-255X"},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhou","raw_affiliation_strings":["School of Economics, Guangdong University of Finance and Economics, Guangzhou, China","School of Economics, Guangdong University of Finance and Economics 510320,Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Guangdong University of Finance and Economics, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]},{"raw_affiliation_string":"School of Economics, Guangdong University of Finance and Economics 510320,Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072196676","display_name":"Zhaode Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I201459984","display_name":"Guangdong University Of Finances and Economics","ror":"https://ror.org/0459pv085","country_code":"CN","type":"education","lineage":["https://openalex.org/I201459984"]},{"id":"https://openalex.org/I4210149618","display_name":"Guangdong University of Finance","ror":"https://ror.org/04grzdh47","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210149618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaode Liu","raw_affiliation_strings":["School of Economics, Guangdong University of Finance and Economics, Guangzhou, China","School of Economics, Guangdong University of Finance and Economics 510320,Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics, Guangdong University of Finance and Economics, Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]},{"raw_affiliation_string":"School of Economics, Guangdong University of Finance and Economics 510320,Guangzhou, China","institution_ids":["https://openalex.org/I201459984","https://openalex.org/I4210149618"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weirong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weirong Cheng","raw_affiliation_strings":["School of Mathematics and Science, Peking University, Beijing, China","School of Mathematics and Science, Peking University 100871 Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Mathematics and Science, Peking University 100871 Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057518953","display_name":"Yangjin Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangjin Cheng","raw_affiliation_strings":["School of Mathematics and Computational Science Xiangtan University, Xiangtan, Hunan, China","School of Mathematics and Computational ScienceXiangtan University 411105, Xiangtan, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science Xiangtan University, Xiangtan, Hunan, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"School of Mathematics and Computational ScienceXiangtan University 411105, Xiangtan, Hunan, China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5416,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7332335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"17","issue":"2","first_page":"427","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9884999990463257,"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/computer-science","display_name":"Computer science","score":0.8475171327590942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7397366762161255},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.6981993913650513},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6747601628303528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6073434352874756},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.584356427192688},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5825662016868591},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5579320788383484},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5367198586463928},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5305253267288208},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5210670828819275},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44543319940567017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4428470730781555},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4216839373111725},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4180784523487091},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13047894835472107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8475171327590942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7397366762161255},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.6981993913650513},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6747601628303528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6073434352874756},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.584356427192688},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5825662016868591},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5579320788383484},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5367198586463928},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5305253267288208},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5210670828819275},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44543319940567017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4428470730781555},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4216839373111725},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4180784523487091},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13047894835472107},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2298/csis191222010z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis191222010z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000010Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2298/csis191222010z","is_oa":true,"landing_page_url":"https://doi.org/10.2298/csis191222010z","pdf_url":"http://www.doiserbia.nb.rs/ft.aspx?id=1820-02142000010Z","source":{"id":"https://openalex.org/S206939107","display_name":"Computer Science and Information Systems","issn_l":"1820-0214","issn":["1820-0214","2406-1018"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310321031","host_organization_name":"ComSIS Consortium","host_organization_lineage":["https://openalex.org/P4310321031"],"host_organization_lineage_names":["ComSIS Consortium"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Science and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1425214219","display_name":null,"funder_award_id":"11301549","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1530216100","display_name":null,"funder_award_id":"61375063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4857027710","display_name":"\u57fa\u4e8e\u968f\u673a\u8fc7\u7a0b\u7684\u65f6\u6ede\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u7684\u7a33\u5b9a\u6027\u7814\u7a76","funder_award_id":"61271355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4954962329","display_name":null,"funder_award_id":"11271378","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"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037112681.pdf","grobid_xml":"https://content.openalex.org/works/W3037112681.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W243107523","https://openalex.org/W1534477342","https://openalex.org/W1606858007","https://openalex.org/W1676314349","https://openalex.org/W1734659956","https://openalex.org/W1905882502","https://openalex.org/W1912954554","https://openalex.org/W1968591910","https://openalex.org/W1980038761","https://openalex.org/W1984309565","https://openalex.org/W2048308819","https://openalex.org/W2062118960","https://openalex.org/W2098676252","https://openalex.org/W2111072639","https://openalex.org/W2117539524","https://openalex.org/W2132633146","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2190186811","https://openalex.org/W2194775991","https://openalex.org/W2203240275","https://openalex.org/W2335925837","https://openalex.org/W2341018344","https://openalex.org/W2398924934","https://openalex.org/W2412588858","https://openalex.org/W2528430964","https://openalex.org/W2533102868","https://openalex.org/W2599408268","https://openalex.org/W2599857737","https://openalex.org/W2601135018","https://openalex.org/W2619941902","https://openalex.org/W2767959320","https://openalex.org/W2795476700","https://openalex.org/W2807267991","https://openalex.org/W2808374792","https://openalex.org/W2890443329","https://openalex.org/W2897433305","https://openalex.org/W2899808457","https://openalex.org/W2904672395","https://openalex.org/W4200169950","https://openalex.org/W4200320221","https://openalex.org/W4211019019","https://openalex.org/W4212922222","https://openalex.org/W4240153047","https://openalex.org/W6697069469"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3082178636","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2129933262"],"abstract_inverted_index":{"Classifying":[0],"land-use":[1],"scenes":[2],"with":[3],"high":[4],"quality":[5],"and":[6,25,32,39,63,77,80,96,103,141],"accuracy":[7,140],"is":[8,20,52,72,111],"an":[9],"important":[10],"research":[11],"direction":[12],"in":[13,54,136],"current":[14],"hyperspectral":[15,114],"remote":[16,115],"sensing":[17,116],"images,":[18],"which":[19,57],"conducive":[21],"to":[22,74,86,133],"scientific":[23],"management":[24],"utilization":[26],"of":[27,93,107,138],"land.":[28],"An":[29],"effective":[30,76],"classifier":[31],"feature":[33],"extractor":[34],"can":[35,99],"improve":[36,100],"classification":[37,118,139],"stability":[38],"accuracy.":[40],"Therefore,":[41],"based":[42],"on":[43],"deep":[44,81],"learning":[45,50,67],"technique,":[46],"a":[47],"dropout-based":[48],"ensemble":[49,97],"method":[51,98],"proposed":[53,109,126],"this":[55],"paper,":[56],"combines":[58],"convolutional":[59],"neural":[60],"network":[61],"(CNN)":[62],"information":[64],"discriminating":[65],"extreme":[66],"machine":[68],"(IELM).":[69],"Pre-trained":[70],"CNN":[71],"used":[73],"learn":[75],"robust":[78],"features,":[79],"convolution":[82],"features":[83],"are":[84],"fed":[85],"the":[87,91,108,125],"IELM":[88],"classifier.":[89],"Then":[90],"adoption":[92],"dropout":[94],"technique":[95],"generalization":[101],"capabilities":[102],"stability.":[104,142],"The":[105,120],"effectiveness":[106],"algorithm":[110],"tested":[112],"by":[113],"image":[117],"experiments.":[119],"experimental":[121],"results":[122,131],"show":[123],"that":[124],"E-CNN-dropIELM":[127],"has":[128],"achieved":[129],"satisfactory":[130],"compared":[132],"state-of-the-art":[134],"methods":[135],"terms":[137]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}