{"id":"https://openalex.org/W2989864137","doi":"https://doi.org/10.23919/softcom.2019.8903738","title":"Crop Classification using Multi-spectral and Multitemporal Satellite Imagery with Machine Learning","display_name":"Crop Classification using Multi-spectral and Multitemporal Satellite Imagery with Machine Learning","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989864137","doi":"https://doi.org/10.23919/softcom.2019.8903738","mag":"2989864137"},"language":"en","primary_location":{"id":"doi:10.23919/softcom.2019.8903738","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom.2019.8903738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","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/A5024699701","display_name":"Lucija Viskovic","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159398","display_name":"Ericsson (Croatia)","ror":"https://ror.org/04bsh3r03","country_code":"HR","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210159398"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Lucija Viskovic","raw_affiliation_strings":["Ericsson Nikola Tesla,Split,Croatia","Ericsson Nikola Tesla, Split, Croatia"],"affiliations":[{"raw_affiliation_string":"Ericsson Nikola Tesla,Split,Croatia","institution_ids":["https://openalex.org/I4210159398"]},{"raw_affiliation_string":"Ericsson Nikola Tesla, Split, Croatia","institution_ids":["https://openalex.org/I4210159398"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030193295","display_name":"Ivana Ni\u017eeti\u0107 Kosovi\u0107","orcid":"https://orcid.org/0000-0002-0076-5279"},"institutions":[{"id":"https://openalex.org/I4210159398","display_name":"Ericsson (Croatia)","ror":"https://ror.org/04bsh3r03","country_code":"HR","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210159398"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Ivana Nizetic Kosovic","raw_affiliation_strings":["Ericsson Nikola Tesla,Split,Croatia","Ericsson Nikola Tesla, Split, Croatia"],"affiliations":[{"raw_affiliation_string":"Ericsson Nikola Tesla,Split,Croatia","institution_ids":["https://openalex.org/I4210159398"]},{"raw_affiliation_string":"Ericsson Nikola Tesla, Split, Croatia","institution_ids":["https://openalex.org/I4210159398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005450072","display_name":"Toni Masteli\u0107","orcid":"https://orcid.org/0000-0003-0322-9049"},"institutions":[{"id":"https://openalex.org/I4210159398","display_name":"Ericsson (Croatia)","ror":"https://ror.org/04bsh3r03","country_code":"HR","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210159398"]}],"countries":["HR"],"is_corresponding":false,"raw_author_name":"Toni Mastelic","raw_affiliation_strings":["Ericsson Nikola Tesla,Split,Croatia","Ericsson Nikola Tesla, Split, Croatia"],"affiliations":[{"raw_affiliation_string":"Ericsson Nikola Tesla,Split,Croatia","institution_ids":["https://openalex.org/I4210159398"]},{"raw_affiliation_string":"Ericsson Nikola Tesla, Split, Croatia","institution_ids":["https://openalex.org/I4210159398"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024699701"],"corresponding_institution_ids":["https://openalex.org/I4210159398"],"apc_list":null,"apc_paid":null,"fwci":2.7741,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.90335103,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9986000061035156,"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":0.9986000061035156,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9969000220298767,"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":0.9825999736785889,"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/computer-science","display_name":"Computer science","score":0.6165692806243896},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6153325438499451},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6073789000511169},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5110064744949341},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4989304542541504},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4968571960926056},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.49589285254478455},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4924110174179077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.479564368724823},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4706990718841553},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42755940556526184},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42594683170318604},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.4134441018104553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3582550287246704},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.2800995707511902},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19458085298538208},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07988190650939941}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165692806243896},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6153325438499451},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6073789000511169},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5110064744949341},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4989304542541504},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4968571960926056},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.49589285254478455},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4924110174179077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.479564368724823},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4706990718841553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42755940556526184},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42594683170318604},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.4134441018104553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3582550287246704},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.2800995707511902},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19458085298538208},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07988190650939941},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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:10.23919/softcom.2019.8903738","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom.2019.8903738","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1492815834","https://openalex.org/W1528294724","https://openalex.org/W1544818256","https://openalex.org/W1998902551","https://openalex.org/W2008085934","https://openalex.org/W2080692336","https://openalex.org/W2283002322","https://openalex.org/W2307094448","https://openalex.org/W2345191823","https://openalex.org/W2397355252","https://openalex.org/W2604086375","https://openalex.org/W2617056706","https://openalex.org/W2774087771","https://openalex.org/W2869418531","https://openalex.org/W2913804921","https://openalex.org/W3204438512","https://openalex.org/W4250096652"],"related_works":["https://openalex.org/W2006362812","https://openalex.org/W1975547468","https://openalex.org/W1594962745","https://openalex.org/W2804627982","https://openalex.org/W2001679188","https://openalex.org/W4205493345","https://openalex.org/W2016342027","https://openalex.org/W2196068029","https://openalex.org/W2310826128","https://openalex.org/W2974328778"],"abstract_inverted_index":{"Satellite":[0],"images":[1,36,67],"are":[2,75],"highly":[3],"utilized":[4],"for":[5,121],"detecting":[6],"land":[7,89],"usage,":[8],"while":[9],"in":[10,20],"recent":[11],"years":[12],"a":[13,127],"finer-grade":[14],"crop":[15,70,123],"classification":[16,28,71,91],"has":[17],"become":[18],"important":[19],"the":[21,87,96],"context":[22],"of":[23,39,51,105,110,114],"precision":[24,117],"agriculture.":[25],"However,":[26],"such":[27],"brings":[29],"new":[30],"challenges,":[31],"which":[32,81],"aside":[33],"from":[34],"multi-spectral":[35,63],"require":[37],"exploitation":[38],"their":[40],"multi-temporal":[41,65],"properties":[42],"as":[43],"well,":[44],"with":[45,86,102],"pixel-based":[46],"analysis":[47,113],"and":[48,64,68,107,116],"larger":[49],"number":[50],"classes.":[52],"In":[53],"this":[54],"paper,":[55],"we":[56],"apply":[57],"several":[58],"machine":[59],"learning":[60],"algorithms":[61,101],"on":[62,78],"satellite":[66],"derive":[69],"models.":[72,92],"The":[73],"models":[74],"applied":[76],"only":[77],"agricultural":[79],"fields,":[80],"can":[82],"be":[83],"singled":[84],"out":[85],"existing":[88],"usage":[90],"Results":[93],"show":[94],"that":[95],"random":[97],"forest":[98],"outperforms":[99],"other":[100],"accuracy":[103],"score":[104,109],"0.8420":[106],"Kappa":[108],"0.8157.":[111],"Detailed":[112],"recall":[115],"scores":[118],"is":[119],"given":[120],"each":[122],"separately,":[124],"followed":[125],"by":[126],"comprehensive":[128],"discussion.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
