{"id":"https://openalex.org/W2044918921","doi":"https://doi.org/10.1109/igarss.2014.6946781","title":"An application of multiple space nearest neighbor classifier in land cover classification","display_name":"An application of multiple space nearest neighbor classifier in land cover classification","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2044918921","doi":"https://doi.org/10.1109/igarss.2014.6946781","mag":"2044918921"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","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/A5111738812","display_name":"Flavia de Toledo Martins-Bede","orcid":null},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Flavia de Toledo Martins-Bede","raw_affiliation_strings":["Brazilian National Institute for Space Research (INPE)","Brazilian National Institute for Space Research - INPE"],"affiliations":[{"raw_affiliation_string":"Brazilian National Institute for Space Research (INPE)","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Brazilian National Institute for Space Research - INPE","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047114573","display_name":"Mariane Souza Reis","orcid":"https://orcid.org/0000-0001-9356-7652"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marione Souza Reis","raw_affiliation_strings":["Brazilian National Institute for Space Research (INPE)","Brazilian National Institute for Space Research - INPE"],"affiliations":[{"raw_affiliation_string":"Brazilian National Institute for Space Research (INPE)","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Brazilian National Institute for Space Research - INPE","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062350106","display_name":"Eliana Pantale\u00e3o","orcid":"https://orcid.org/0000-0002-7843-1615"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eliana Pantaleao","raw_affiliation_strings":["Brazilian National Institute for Space Research (INPE)","Brazilian National Institute for Space Research - INPE"],"affiliations":[{"raw_affiliation_string":"Brazilian National Institute for Space Research (INPE)","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Brazilian National Institute for Space Research - INPE","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085857516","display_name":"Luciano Vieira Dutra","orcid":"https://orcid.org/0000-0002-7757-039X"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Dutra","raw_affiliation_strings":["Brazilian National Institute for Space Research (INPE)","Brazilian National Institute for Space Research - INPE"],"affiliations":[{"raw_affiliation_string":"Brazilian National Institute for Space Research (INPE)","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Brazilian National Institute for Space Research - INPE","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047439471","display_name":"Sandra Sandri","orcid":null},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sandra Sandri","raw_affiliation_strings":["Brazilian National Institute for Space Research (INPE)","Brazilian National Institute for Space Research - INPE"],"affiliations":[{"raw_affiliation_string":"Brazilian National Institute for Space Research (INPE)","institution_ids":["https://openalex.org/I80849659"]},{"raw_affiliation_string":"Brazilian National Institute for Space Research - INPE","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111738812"],"corresponding_institution_ids":["https://openalex.org/I80849659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1560038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1713","last_page":"1716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9872999787330627,"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":0.9872999787330627,"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9459999799728394,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9438999891281128,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7054418921470642},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6536942720413208},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.641330897808075},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6134803295135498},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5021755695343018},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.4855196475982666},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47577396035194397},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47255513072013855},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4622369408607483},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4610177278518677},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.45784658193588257},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.44910523295402527},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.44274380803108215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42422911524772644},{"id":"https://openalex.org/keywords/nearest-neighbour","display_name":"Nearest neighbour","score":0.4140806794166565},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.2203434407711029},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.19601818919181824},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1690719723701477},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13566336035728455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12256354093551636}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7054418921470642},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6536942720413208},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.641330897808075},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134803295135498},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5021755695343018},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.4855196475982666},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47577396035194397},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47255513072013855},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4622369408607483},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4610177278518677},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.45784658193588257},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.44910523295402527},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.44274380803108215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42422911524772644},{"id":"https://openalex.org/C2983946233","wikidata":"https://www.wikidata.org/wiki/Q4088109","display_name":"Nearest neighbour","level":2,"score":0.4140806794166565},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.2203434407711029},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.19601818919181824},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1690719723701477},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13566336035728455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12256354093551636},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/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.2014.6946781","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946781","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2015401436","https://openalex.org/W2036991387","https://openalex.org/W2118798900","https://openalex.org/W6992523042"],"related_works":["https://openalex.org/W2622145841","https://openalex.org/W1591806955","https://openalex.org/W4206315490","https://openalex.org/W2062957446","https://openalex.org/W615122461","https://openalex.org/W1483351956","https://openalex.org/W3004382963","https://openalex.org/W2017824505","https://openalex.org/W2128412323","https://openalex.org/W2006044157"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,76,80],"case":[4,19],"study":[5,20],"in":[6,25],"land":[7],"cover":[8],"classification":[9,16,94],"using":[10,54],"ms-NN,":[11],"an":[12,23,87],"extension":[13],"of":[14,75,90],"k-NN":[15,66],"algorithm.":[17],"The":[18,58],"focuses":[21],"on":[22],"area":[24],"the":[26,73,93,98,109],"Brazilian":[27],"Amazon":[28],"region,":[29],"with":[30,61,65],"data":[31],"obtained":[32,60,105],"from":[33],"LANDSAT5":[34],"satellite":[35,45],"Thematic":[36],"Mapper":[37],"(TM)":[38],"sensor":[39],"and":[40,67,86],"Advanced":[41],"Land":[42],"Observing":[43],"System":[44],"(ALOS)":[46],"Phase":[47],"Array":[48],"L-Band":[49],"Synthetic":[50],"Aperture":[51],"Radar":[52],"(PALSAR),":[53],"Fine":[55],"Beam":[56],"Dual.":[57],"results":[59,100,107],"ms-NN":[62,104],"are":[63],"compared":[64],"Support":[68],"Vector":[69],"Machine":[70],"algorithms,":[71],"considering":[72],"use":[74],"single":[77],"training":[78],"set,":[79],"Monte":[81],"Carlo":[82],"procedure":[83],"for":[84,92,101],"testing":[85],"extensive":[88],"number":[89],"parameterizations":[91],"methods.":[95,111],"Considering":[96],"only":[97],"best":[99],"each":[102],"classifier,":[103],"better":[106],"than":[108],"other":[110]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
