{"id":"https://openalex.org/W2947949571","doi":"https://doi.org/10.1109/jstars.2019.2917024","title":"Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images","display_name":"Eyes in the Skies: A Data-Driven Fusion Approach to Identifying Drug Crops From Remote Sensing Images","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947949571","doi":"https://doi.org/10.1109/jstars.2019.2917024","mag":"2947949571"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2019.2917024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2917024","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5067506984","display_name":"Anselmo Ferreira","orcid":"https://orcid.org/0000-0002-2196-7232"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anselmo Ferreira","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, the Shenzhen Key Laboratory of Media Security, College of Information Engineering, and the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, the Shenzhen Key Laboratory of Media Security, College of Information Engineering, and the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071973453","display_name":"Siovani Cintra Felipussi","orcid":"https://orcid.org/0000-0002-2739-085X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Siovani C. Felipussi","raw_affiliation_strings":["Department of Computer Science, Universidade Federal de S&#x00E3;o Carlos, S&#x00E3;o Carlos, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Universidade Federal de S&#x00E3;o Carlos, S&#x00E3;o Carlos, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086873271","display_name":"Ramon Pires","orcid":"https://orcid.org/0000-0002-0023-1971"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ramon Pires","raw_affiliation_strings":["Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057680257","display_name":"Sandra Avila","orcid":"https://orcid.org/0000-0001-9068-938X"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sandra Avila","raw_affiliation_strings":["Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065041674","display_name":"Geise Santos","orcid":"https://orcid.org/0000-0002-0178-5482"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Geise Santos","raw_affiliation_strings":["Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040220506","display_name":"Jorge de A. Lambert","orcid":"https://orcid.org/0000-0002-5750-5689"},"institutions":[{"id":"https://openalex.org/I880818075","display_name":"Federal Police of Brazil","ror":"https://ror.org/01hmd1y41","country_code":"BR","type":"government","lineage":["https://openalex.org/I2801200668","https://openalex.org/I4210115982","https://openalex.org/I880818075"]},{"id":"https://openalex.org/I150729083","display_name":"Universidade de Bras\u00edlia","ror":"https://ror.org/02xfp8v59","country_code":"BR","type":"education","lineage":["https://openalex.org/I150729083"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jorge Lambert","raw_affiliation_strings":["National Institute of Criminology, Brazilian Federal Police, Brasilia, Brazil","Department of Mechatronics Systems, University of Brasilia, Brasilia, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute of Criminology, Brazilian Federal Police, Brasilia, Brazil","institution_ids":["https://openalex.org/I880818075"]},{"raw_affiliation_string":"Department of Mechatronics Systems, University of Brasilia, Brasilia, Brazil","institution_ids":["https://openalex.org/I150729083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047964483","display_name":"Jiwu Huang","orcid":"https://orcid.org/0000-0002-7625-5689"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwu Huang","raw_affiliation_strings":["Guangdong Key Laboratory of Intelligent Information Processing, the Shenzhen Key Laboratory of Media Security, College of Information Engineering, and the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Key Laboratory of Intelligent Information Processing, the Shenzhen Key Laboratory of Media Security, College of Information Engineering, and the National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043147904","display_name":"Anderson Rocha","orcid":"https://orcid.org/0000-0002-4236-8212"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Anderson Rocha","raw_affiliation_strings":["Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Computing, University of Campinas (Unicamp), S&#x00E3;o Paulo, Brazil","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5067506984"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.964,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87995614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"12","first_page":"4773","last_page":"4786"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9961000084877014,"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":0.9961000084877014,"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/T12388","display_name":"Identification and Quantification in Food","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9753000140190125,"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/computer-science","display_name":"Computer science","score":0.777103841304779},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6303627490997314},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6028637290000916},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5555249452590942},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.5087671875953674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.504726767539978},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5024185180664062},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4702771008014679},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4697708785533905},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4463012218475342},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.413330078125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41163715720176697},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37548816204071045},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3612714409828186},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32817965745925903},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20277372002601624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777103841304779},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6303627490997314},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6028637290000916},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5555249452590942},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.5087671875953674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.504726767539978},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5024185180664062},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4702771008014679},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4697708785533905},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4463012218475342},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.413330078125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41163715720176697},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37548816204071045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3612714409828186},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32817965745925903},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20277372002601624},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2019.2917024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2019.2917024","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3326952325","display_name":null,"funder_award_id":"61332012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4414785203","display_name":null,"funder_award_id":"U1636202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6254211548","display_name":null,"funder_award_id":"#2017/12646-3","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G7467142131","display_name":null,"funder_award_id":"JCYJ20160328144421330","funder_id":"https://openalex.org/F4320329801","funder_display_name":"Shenzhen Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329801","display_name":"Shenzhen Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W215025509","https://openalex.org/W1499958373","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1601387247","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1967891793","https://openalex.org/W1972904756","https://openalex.org/W1981468861","https://openalex.org/W1988299413","https://openalex.org/W1989085630","https://openalex.org/W2002392274","https://openalex.org/W2004826645","https://openalex.org/W2008692870","https://openalex.org/W2010560725","https://openalex.org/W2016677690","https://openalex.org/W2019590454","https://openalex.org/W2029404450","https://openalex.org/W2037865857","https://openalex.org/W2044465660","https://openalex.org/W2059523177","https://openalex.org/W2066834279","https://openalex.org/W2074798700","https://openalex.org/W2084413241","https://openalex.org/W2092170487","https://openalex.org/W2093378913","https://openalex.org/W2097117768","https://openalex.org/W2099129687","https://openalex.org/W2110944945","https://openalex.org/W2112397370","https://openalex.org/W2112796928","https://openalex.org/W2116929083","https://openalex.org/W2119365557","https://openalex.org/W2123543386","https://openalex.org/W2139267096","https://openalex.org/W2139900591","https://openalex.org/W2141423371","https://openalex.org/W2146502635","https://openalex.org/W2148143831","https://openalex.org/W2156366154","https://openalex.org/W2160517556","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2283002322","https://openalex.org/W2347115704","https://openalex.org/W2408707284","https://openalex.org/W2424278943","https://openalex.org/W2482292925","https://openalex.org/W2519338473","https://openalex.org/W2521187057","https://openalex.org/W2547013301","https://openalex.org/W2584714880","https://openalex.org/W2604086375","https://openalex.org/W2680780302","https://openalex.org/W2734780326","https://openalex.org/W2743020103","https://openalex.org/W2781585953","https://openalex.org/W2963446712","https://openalex.org/W2964121744","https://openalex.org/W2978631110","https://openalex.org/W2993822473","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6637373629","https://openalex.org/W6659890193","https://openalex.org/W6680556597","https://openalex.org/W6681435938","https://openalex.org/W6683616780","https://openalex.org/W6729147689","https://openalex.org/W6771272989"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2988577871","https://openalex.org/W4391030644","https://openalex.org/W4205174160"],"abstract_inverted_index":{"Automatic":[0],"classification":[1],"of":[2,67,115,194,206],"sensitive":[3,208],"content":[4,209],"in":[5,24,41,59,125,138,148,162,167,178,201],"remote":[6,54,92],"sensing":[7,55,93],"images,":[8],"such":[9,116,207],"as":[10,18],"drug":[11,27,51,89],"crop":[12],"sites,":[13],"is":[14,57],"a":[15,83,128,139,163],"promising":[16,192],"task,":[17],"it":[19,35],"can":[20,36],"aid":[21,198],"law-enforcement":[22],"institutions":[23],"fighting":[25],"illegal":[26],"dealers":[28],"worldwide,":[29],"while,":[30],"at":[31],"the":[32,68,120,143,179,188,191],"same":[33,180],"time,":[34],"help":[37],"monitor":[38],"legalized":[39],"crops":[40,52],"countries":[42],"that":[43,152],"regulate":[44],"them.":[45],"However,":[46],"existing":[47],"art":[48],"on":[49],"detecting":[50,202],"from":[53,78,91,175],"images":[56],"limited":[58],"some":[60],"key":[61],"factors,":[62],"not":[63],"taking":[64],"full":[65],"advantage":[66],"available":[69],"hyperspectral":[70],"information":[71],"for":[72,184],"analysis.":[73],"In":[74],"this":[75,149,195],"paper,":[76],"departing":[77],"these":[79],"methods,":[80,189],"we":[81,123],"propose":[82],"data-driven":[84,158],"ensemble":[85,154],"method":[86,96],"to":[87,104,111,197],"detect":[88],"sites":[90],"images.":[94],"Our":[95],"comprises":[97],"different":[98,176],"convolutional":[99],"neural":[100],"network":[101],"architectures":[102],"applied":[103],"distinct":[105],"image":[106],"representations,":[107],"which":[108,168],"are":[109,171,182],"able":[110],"represent":[112],"complementary":[113],"characterizations":[114],"crops.":[117],"To":[118],"validate":[119],"proposed":[121],"approach,":[122],"considered":[124],"our":[126,153],"experiments":[127],"dataset":[129,150],"containing":[130],"Cannabis":[131],"Sativa":[132],"crops,":[133],"spotted":[134],"by":[135],"police":[136,199],"operations":[137,200],"Brazilian":[140],"region":[141,181],"called":[142],"Marijuana":[144],"Polygon.":[145],"The":[146],"results":[147],"show":[151],"approach":[155],"outperforms":[156],"other":[157],"and":[159,173,186,203],"feature-engineering":[160],"methods":[161],"real-world":[164],"experimental":[165],"setup,":[166],"unbalanced":[169],"samples":[170],"present":[172],"acquisitions":[174],"places":[177],"used":[183],"training":[185],"testing":[187],"highlighting":[190],"use":[193],"solution":[196],"collecting":[204],"evidence":[205],"properly.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
