{"id":"https://openalex.org/W2548474720","doi":"https://doi.org/10.1109/igarss.2016.7730864","title":"Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers","display_name":"Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548474720","doi":"https://doi.org/10.1109/igarss.2016.7730864","mag":"2548474720"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"article","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/A5006740564","display_name":"Nataliia Kussul","orcid":"https://orcid.org/0000-0002-9704-9702"},"institutions":[{"id":"https://openalex.org/I202483615","display_name":"National Technical University of Ukraine \u201cIgor Sikorsky Kyiv Polytechnic Institute\u201d","ror":"https://ror.org/00syn5v21","country_code":"UA","type":"education","lineage":["https://openalex.org/I202483615"]},{"id":"https://openalex.org/I4210099374","display_name":"Space Research Institute","ror":"https://ror.org/015zbz228","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210099374"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Nataliia Kussul","raw_affiliation_strings":["National Technical University of Ukraine \u201cKyiv Polytechnic Institute\u201d, Kyiv, Ukraine","Space Research Institute NASU-SSAU, Kyiv, Ukraine","National Technical University of Ukraine \"Kyiv Polytechnic Institute\", Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"National Technical University of Ukraine \u201cKyiv Polytechnic Institute\u201d, Kyiv, Ukraine","institution_ids":["https://openalex.org/I202483615"]},{"raw_affiliation_string":"Space Research Institute NASU-SSAU, Kyiv, Ukraine","institution_ids":["https://openalex.org/I4210099374"]},{"raw_affiliation_string":"National Technical University of Ukraine \"Kyiv Polytechnic Institute\", Kyiv, Ukraine","institution_ids":["https://openalex.org/I202483615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082681779","display_name":"Mykola Lavreniuk","orcid":"https://orcid.org/0000-0003-2183-8833"},"institutions":[{"id":"https://openalex.org/I4210099374","display_name":"Space Research Institute","ror":"https://ror.org/015zbz228","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210099374"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Mykola Lavreniuk","raw_affiliation_strings":["Space Research Institute NASU-SSAU, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Space Research Institute NASU-SSAU, Kyiv, Ukraine","institution_ids":["https://openalex.org/I4210099374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019694508","display_name":"\u0410\u043d\u0434\u0440\u0456\u0439 \u0428\u0435\u043b\u0435\u0441\u0442\u043e\u0432","orcid":"https://orcid.org/0000-0001-9256-4097"},"institutions":[{"id":"https://openalex.org/I202483615","display_name":"National Technical University of Ukraine \u201cIgor Sikorsky Kyiv Polytechnic Institute\u201d","ror":"https://ror.org/00syn5v21","country_code":"UA","type":"education","lineage":["https://openalex.org/I202483615"]},{"id":"https://openalex.org/I4210099374","display_name":"Space Research Institute","ror":"https://ror.org/015zbz228","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210099374"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Andrii Shelestov","raw_affiliation_strings":["National Technical University of Ukraine \u201cKyiv Polytechnic Institute\u201d, Kyiv, Ukraine","Space Research Institute NASU-SSAU, Kyiv, Ukraine","National Technical University of Ukraine \"Kyiv Polytechnic Institute\", Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"National Technical University of Ukraine \u201cKyiv Polytechnic Institute\u201d, Kyiv, Ukraine","institution_ids":["https://openalex.org/I202483615"]},{"raw_affiliation_string":"Space Research Institute NASU-SSAU, Kyiv, Ukraine","institution_ids":["https://openalex.org/I4210099374"]},{"raw_affiliation_string":"National Technical University of Ukraine \"Kyiv Polytechnic Institute\", Kyiv, Ukraine","institution_ids":["https://openalex.org/I202483615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064249540","display_name":"Bohdan Yailymov","orcid":"https://orcid.org/0000-0002-2635-9842"},"institutions":[{"id":"https://openalex.org/I4210099374","display_name":"Space Research Institute","ror":"https://ror.org/015zbz228","country_code":"UA","type":"facility","lineage":["https://openalex.org/I149851306","https://openalex.org/I4210099374"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Bohdan Yailymov","raw_affiliation_strings":["Space Research Institute NASU-SSAU, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"Space Research Institute NASU-SSAU, Kyiv, Ukraine","institution_ids":["https://openalex.org/I4210099374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006740564"],"corresponding_institution_ids":["https://openalex.org/I202483615","https://openalex.org/I4210099374"],"apc_list":null,"apc_paid":null,"fwci":2.466,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8866936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"7145","last_page":"7148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9961000084877014,"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"}},{"id":"https://openalex.org/T14018","display_name":"Agriculture and Biological Studies","score":0.9233999848365784,"subfield":{"id":"https://openalex.org/subfields/1100","display_name":"General Agricultural and Biological Sciences"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13102","display_name":"Soil and Environmental Studies","score":0.9154000282287598,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5501391291618347},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5059899687767029},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.5051305890083313},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.497670441865921},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.496634304523468},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4569239616394043},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.4331511855125427},{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.4289740324020386},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.42598438262939453},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.41979682445526123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4065853953361511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39930829405784607},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34934696555137634},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.276987224817276},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17632213234901428},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.14088153839111328},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.13871818780899048},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07936793565750122}],"concepts":[{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5501391291618347},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5059899687767029},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.5051305890083313},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.497670441865921},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.496634304523468},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4569239616394043},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.4331511855125427},{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.4289740324020386},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.42598438262939453},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.41979682445526123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4065853953361511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39930829405784607},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34934696555137634},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.276987224817276},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17632213234901428},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.14088153839111328},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.13871818780899048},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07936793565750122},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1989899144","https://openalex.org/W2003671202","https://openalex.org/W2010167439","https://openalex.org/W2014158985","https://openalex.org/W2034681697","https://openalex.org/W2035222601","https://openalex.org/W2038396734","https://openalex.org/W2046975657","https://openalex.org/W2051060685","https://openalex.org/W2056251274","https://openalex.org/W2080164612","https://openalex.org/W2118899651","https://openalex.org/W2119128301","https://openalex.org/W2183623781","https://openalex.org/W2333168857","https://openalex.org/W2404854973","https://openalex.org/W2514863413","https://openalex.org/W6663092921","https://openalex.org/W6713615908","https://openalex.org/W6725813756"],"related_works":["https://openalex.org/W2016852621","https://openalex.org/W4323031844","https://openalex.org/W2020747065","https://openalex.org/W3128824461","https://openalex.org/W2363711112","https://openalex.org/W2099590259","https://openalex.org/W1584322122","https://openalex.org/W2620183634","https://openalex.org/W2105970550","https://openalex.org/W3026962529"],"abstract_inverted_index":{"Along":[0],"the":[1,31,49,61,76,95,104,184,190,197,210,223,230,233],"season":[2,234],"crop":[3,68,83,116,135],"classification":[4,69,84,117],"based":[5],"on":[6],"satellite":[7,153,181],"data":[8,45,56,161,182],"is":[9,54,59,72,101,119,137,176,206,235],"challenging":[10],"task":[11,53],"for":[12,33,86],"Ukraine":[13,88],"because":[14],"of":[15,19,35,64,106,151,171,180,186,199,226,232],"a":[16],"big":[17],"diversity":[18],"different":[20,24,47],"agricultural":[21],"crops":[22,127,144,201,215],"with":[23,155,212,216],"phenology":[25],"(crop":[26],"calendars).":[27],"Taking":[28],"into":[29],"account":[30],"availability":[32],"free":[34],"high":[36],"resolution":[37],"(10":[38],"to":[39,80,108,123,141,189,194,208],"30":[40],"meter)":[41],"optical":[42],"and":[43,67,112,145,159,222],"SAR":[44],"from":[46,183],"satellite,":[48],"most":[50],"resource":[51],"consuming":[52],"ground":[55,65],"collecting.":[57],"That":[58],"why":[60],"proper":[62],"time":[63],"surveys":[66],"maps":[70,85],"developing":[71,120],"very":[73],"important.":[74],"In":[75,203],"study":[77],"we":[78],"propose":[79],"build":[81],"three":[82],"JECAM":[87],"test":[89],"site":[90],"in":[91,103,121,139,168],"Kyiv":[92],"region":[93],"during":[94],"vegetation":[96],"season.":[97],"The":[98,114,133],"first":[99],"one":[100],"built":[102,138],"middle":[105],"May":[107],"classify":[109],"winter":[110,200],"cereals":[111],"rapeseeds.":[113],"next":[115],"map":[118,136,211,228],"July":[122,204],"discriminate":[124],"major":[125,213],"summer":[126,143,214],"(spring":[128],"cereals,":[129],"maize,":[130],"soybeans,":[131],"sunflowers).":[132],"final":[134,227],"autumn":[140],"refine":[142],"sugar":[146],"beet":[147],"discrimination.":[148],"Time":[149],"series":[150],"multi-temporal":[152],"images":[154],"restored":[156],"missing":[157],"(clouded":[158],"shadowed)":[160],"are":[162],"classified":[163],"using":[164],"neural":[165],"network":[166],"approach,":[167],"particular":[169],"ensemble":[170],"multi-layer":[172],"perceptrons":[173],"(MLPs).":[174],"It":[175],"shown,":[177],"that":[178],"addition":[179],"end":[185,231],"previous":[187],"year":[188],"spring":[191],"imagery":[192],"allows":[193],"significantly":[195],"improve":[196],"accuracy":[198,218,225],"classification.":[202],"it":[205],"possible":[207],"deliver":[209],"overall":[217,224],"higher":[219],"than":[220],"87%,":[221],"at":[229],"94%.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}