{"id":"https://openalex.org/W4400650970","doi":"https://doi.org/10.32620/reks.2024.2.06","title":"Improvement of land cover classification accuracy by training sample clustering","display_name":"Improvement of land cover classification accuracy by training sample clustering","publication_year":2024,"publication_date":"2024-04-23","ids":{"openalex":"https://openalex.org/W4400650970","doi":"https://doi.org/10.32620/reks.2024.2.06"},"language":"en","primary_location":{"id":"doi:10.32620/reks.2024.2.06","doi":"https://doi.org/10.32620/reks.2024.2.06","is_oa":true,"landing_page_url":"https://doi.org/10.32620/reks.2024.2.06","pdf_url":null,"source":{"id":"https://openalex.org/S4210171973","display_name":"RADIOELECTRONIC AND COMPUTER SYSTEMS","issn_l":"1814-4225","issn":["1814-4225","2663-2012"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310321196","host_organization_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","host_organization_lineage":["https://openalex.org/P4310321196"],"host_organization_lineage_names":["National Aerospace University \u2013 Kharkiv Aviation Institute"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radioelectronic and Computer Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.32620/reks.2024.2.06","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008707653","display_name":"\u0410\u0440\u0442\u0435\u043c \u0410\u043d\u0434\u0440\u0456\u0439\u043e\u0432\u0438\u0447 \u0410\u043d\u0434\u0440\u0435\u0454\u0432","orcid":"https://orcid.org/0000-0002-6485-449X","observed_orcids":["https://orcid.org/0000-0002-6485-449X"]},"institutions":[{"id":"https://openalex.org/I4210116529","display_name":"Scientific Centre for Aerospace Research of the Earth","ror":"https://ror.org/01t8gb397","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210116529","https://openalex.org/I4210148445"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Artem Andreiev","raw_affiliation_strings":["Scientific Centre for Aerospace Research of the Earth, Kyiv"],"raw_orcid":"https://orcid.org/0000-0002-6485-449X","affiliations":[{"raw_affiliation_string":"Scientific Centre for Aerospace Research of the Earth, Kyiv","institution_ids":["https://openalex.org/I4210116529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000397455","display_name":"\u041b\u0435\u043e\u043d\u0456\u0434 \u0410\u0440\u0442\u044e\u0448\u0438\u043d","orcid":"https://orcid.org/0000-0002-7488-7244","observed_orcids":["https://orcid.org/0000-0002-7488-7244"]},"institutions":[{"id":"https://openalex.org/I90281761","display_name":"National University \"Kyiv Aviation Institute\"","ror":"https://ror.org/01f74x078","country_code":"UA","type":"education","lineage":["https://openalex.org/I90281761"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Leonid Artiushyn","raw_affiliation_strings":["State Research Institute of Aviation, Kyiv"],"raw_orcid":"https://orcid.org/0000-0002-7488-7244","affiliations":[{"raw_affiliation_string":"State Research Institute of Aviation, Kyiv","institution_ids":["https://openalex.org/I90281761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":100,"currency":"EUR","value_usd":107},"apc_paid":{"value":100,"currency":"EUR","value_usd":107},"fwci":0.4265,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51809691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"2024","issue":"2","first_page":"66","last_page":"72"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"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":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover-classification","display_name":"land cover classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/separability-index","display_name":"separability index","score":0.9070000052452087},{"id":"https://openalex.org/keywords/supervised-classification","display_name":"supervised classification","score":0.9509999752044678},{"id":"https://openalex.org/keywords/classification-accuracy","display_name":"classification accuracy","score":0.8109999895095825},{"id":"https://openalex.org/keywords/spectral-signatures","display_name":"spectral signatures","score":0.4740000069141388},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"remote sensing","score":0.6470000147819519}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7526460886001587},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.7451445460319519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5836207866668701},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5544337034225464},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5441840291023254},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5022332668304443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4938862919807434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48215243220329285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4242815375328064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32157132029533386},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1967969536781311},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.16641396284103394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10617145895957947},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.32620/reks.2024.2.06","doi":"https://doi.org/10.32620/reks.2024.2.06","is_oa":true,"landing_page_url":"https://doi.org/10.32620/reks.2024.2.06","pdf_url":null,"source":{"id":"https://openalex.org/S4210171973","display_name":"RADIOELECTRONIC AND COMPUTER SYSTEMS","issn_l":"1814-4225","issn":["1814-4225","2663-2012"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310321196","host_organization_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","host_organization_lineage":["https://openalex.org/P4310321196"],"host_organization_lineage_names":["National Aerospace University \u2013 Kharkiv Aviation Institute"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radioelectronic and Computer Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:089377aed1804c688d6cee5ecf8bbbb2","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/089377aed1804c688d6cee5ecf8bbbb2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\u0420\u0430\u0434\u0456\u043e\u0435\u043b\u0435\u043a\u0442\u0440\u043e\u043d\u043d\u0456 \u0456 \u043a\u043e\u043c\u043f'\u044e\u0442\u0435\u0440\u043d\u0456 \u0441\u0438\u0441\u0442\u0435\u043c\u0438, Vol 2024, Iss 2, Pp 66-72 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.32620/reks.2024.2.06","doi":"https://doi.org/10.32620/reks.2024.2.06","is_oa":true,"landing_page_url":"https://doi.org/10.32620/reks.2024.2.06","pdf_url":null,"source":{"id":"https://openalex.org/S4210171973","display_name":"RADIOELECTRONIC AND COMPUTER SYSTEMS","issn_l":"1814-4225","issn":["1814-4225","2663-2012"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310321196","host_organization_name":"National Aerospace University \u2013 Kharkiv Aviation Institute","host_organization_lineage":["https://openalex.org/P4310321196"],"host_organization_lineage_names":["National Aerospace University \u2013 Kharkiv Aviation Institute"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radioelectronic and Computer Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1531487987","https://openalex.org/W1964169854","https://openalex.org/W2009095018","https://openalex.org/W2119018277","https://openalex.org/W2625598969","https://openalex.org/W2755078453","https://openalex.org/W2811415776","https://openalex.org/W2902315588","https://openalex.org/W2915234744","https://openalex.org/W2916840037","https://openalex.org/W2922387084","https://openalex.org/W3016747886","https://openalex.org/W3025298789","https://openalex.org/W3112132871","https://openalex.org/W3113830209","https://openalex.org/W3201359083","https://openalex.org/W4206228154","https://openalex.org/W4241994743","https://openalex.org/W4283756298","https://openalex.org/W4320066853","https://openalex.org/W4321375223","https://openalex.org/W4381683769","https://openalex.org/W4387941452","https://openalex.org/W4390549060","https://openalex.org/W4390611112"],"related_works":["https://openalex.org/W2995684600","https://openalex.org/W1881668168","https://openalex.org/W3212049770","https://openalex.org/W2875965992","https://openalex.org/W2075306739","https://openalex.org/W7053209835","https://openalex.org/W2097975700","https://openalex.org/W1162698213","https://openalex.org/W6982458412","https://openalex.org/W2375128163"],"abstract_inverted_index":{"The":[0,13,149,229],"subject":[1],"of":[2,21,25,37,44,75,96,125,146,151,182,205,241,250],"this":[3,126,152,263,277],"article":[4],"is":[5,67,98,116,128],"land":[6,138,191,198,221,270],"cover":[7,139,192,199,222,271],"classification":[8,15,108,140],"based":[9,173],"on":[10,174],"geospatial":[11],"data.":[12],"supervised":[14],"methods":[16],"are":[17,55,154],"appropriate":[18],"for":[19,161,203,226,234],"most":[20],"the":[22,31,35,38,42,73,82,121,123,144,180,183,195,206,239,242,248,251,257,274,284,304,307],"thematic":[23],"tasks":[24,150],"remote":[26],"sensing":[27],"because":[28],"they":[29,69],"provide":[30],"opportunity":[32],"to":[33,51,58,84,113,129,136,189,266,294,300,313,319],"set":[34],"characteristics":[36],"initial":[39],"classes":[40,89,223],"in":[41,49,100,247,269,283],"form":[43],"a":[45,61,131,159,168],"training":[46,76,102,117,132,147,162,169,175,217,230,252],"sample":[47,77,103,118,133,163,170,176,218],"set,":[48],"contrast":[50],"unsupervised":[52],"methods.":[53],"There":[54],"many":[56],"approaches":[57],"processing":[59],"such":[60],"set;":[62],"however,":[63],"their":[64],"common":[65],"disadvantage":[66],"that":[68],"do":[70,90],"not":[71,91],"consider":[72],"factor":[74],"separability.":[78],"This":[79],"characteristic":[80],"indicates":[81],"extent":[83],"which":[85],"signatures":[86],"representing":[87],"different":[88],"overlap.":[92],"A":[93],"low":[94],"degree":[95],"separability":[97,106,115,145,164,249,259],"inherent":[99],"high-level":[101],"mixing.":[104],"Thus,":[105],"affects":[107],"accuracy.":[109],"One":[110],"possible":[111],"ways":[112],"increase":[114,246,282,308],"clustering.":[119,219],"Considering":[120],"above,":[122],"goal":[124],"study":[127,209],"develop":[130,158,167],"clustering":[134,171],"technique":[135,172,185],"improve":[137],"accuracy":[141,286],"by":[142,186,256,280,290],"increasing":[143],"samples.":[148],"work":[153],"as":[155],"follows:":[156],"1)":[157],"method":[160],"assessment;":[165],"2)":[166],"separability;":[177],"3)":[178],"test":[179],"effectiveness":[181],"developed":[184,243,258],"applying":[187],"it":[188],"experimental":[190],"classification.":[193,272],"In":[194,261,303],"experiments,":[196],"two":[197,207],"classifications":[200],"were":[201,224,232],"obtained":[202],"each":[204,227,235],"selected":[208,233],"areas":[210],"(i.e.,":[211],"one":[212],"before":[213],"and":[214,287,296,315],"another":[215],"after":[216],"Six":[220],"defined":[225],"experiment.":[228],"samples":[231,253],"class.":[236],"Conclusions.":[237],"After":[238],"application":[240],"technique,":[244],"an":[245,267,281],"was":[254,278,309],"evidenced":[255,279],"index.":[260],"turn,":[262],"approach":[264],"led":[265],"improvement":[268],"For":[273],"first":[275],"experiment,":[276,306],"overall":[285],"kappa":[288],"coefficient":[289],"20%":[291],"(from":[292,298,311,317],"63":[293],"83%)":[295],"21%":[297],"60%":[299],"81%),":[301],"respectively.":[302,321],"second":[305],"4%":[310],"77%":[312],"81%)":[314],"5%":[316],"66%":[318],"71%),":[320]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2024-07-16T00:00:00"}
