{"id":"https://openalex.org/W4205464289","doi":"https://doi.org/10.3390/rs14020361","title":"Automatic Position Estimation Based on Lidar \u00d7 Lidar Data for Autonomous Aerial Navigation in the Amazon Forest Region","display_name":"Automatic Position Estimation Based on Lidar \u00d7 Lidar Data for Autonomous Aerial Navigation in the Amazon Forest Region","publication_year":2022,"publication_date":"2022-01-13","ids":{"openalex":"https://openalex.org/W4205464289","doi":"https://doi.org/10.3390/rs14020361"},"language":"en","primary_location":{"id":"doi:10.3390/rs14020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020361","pdf_url":"https://www.mdpi.com/2072-4292/14/2/361/pdf?version=1642126049","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/2/361/pdf?version=1642126049","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063184798","display_name":"Roberto Neves Salles","orcid":"https://orcid.org/0000-0001-5700-246X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Roberto Neves Salles","raw_affiliation_strings":["Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055768874","display_name":"Haroldo Fraga de Campos Velho","orcid":"https://orcid.org/0000-0003-4968-5330"},"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":"Haroldo Fraga de Campos Velho","raw_affiliation_strings":["National Institute for Space Research, Sao Jose dos Campos 12227-010, Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute for Space Research, Sao Jose dos Campos 12227-010, Brazil","institution_ids":["https://openalex.org/I80849659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062888816","display_name":"Elcio Hideiti Shiguemori","orcid":"https://orcid.org/0000-0001-5226-0435"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elcio Hideiti Shiguemori","raw_affiliation_strings":["Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute for Advanced Studies, Sao Jose dos Campos 12228-001, Brazil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063184798"],"corresponding_institution_ids":[],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.779,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65129397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"2","first_page":"361","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"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/terrain","display_name":"Terrain","score":0.7248757481575012},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7198835015296936},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6892361640930176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6059497594833374},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5819533467292786},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5784939527511597},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5717923045158386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5317529439926147},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46073055267333984},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4371846914291382},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.4239517152309418},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.41581663489341736},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2246769666671753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2003224492073059},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19884377717971802},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.16300830245018005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.126598060131073},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11636435985565186}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.7248757481575012},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7198835015296936},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6892361640930176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6059497594833374},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5819533467292786},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5784939527511597},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5717923045158386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5317529439926147},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46073055267333984},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4371846914291382},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.4239517152309418},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.41581663489341736},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2246769666671753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2003224492073059},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19884377717971802},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.16300830245018005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.126598060131073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11636435985565186},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs14020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020361","pdf_url":"https://www.mdpi.com/2072-4292/14/2/361/pdf?version=1642126049","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2334f80b22104380b2c3f7ac819f4bb3","is_oa":true,"landing_page_url":"https://doaj.org/article/2334f80b22104380b2c3f7ac819f4bb3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 2, p 361 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/2/361/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14020361","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 2; Pages: 361","raw_type":"Text"},{"id":"pmh:oai:urlib.net:urlib.net/www/2022/01.25.16.29.18-0","is_oa":false,"landing_page_url":"http://urlib.net/urlib.net/www/2022/01.25.16.29","pdf_url":null,"source":{"id":"https://openalex.org/S4377196298","display_name":"Biblioteca Digital da Mem\u00f3ria Cient\u00edfica do INPE (National Institute for Space Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I80849659","host_organization_name":"Instituto Nacional de Pesquisas Espaciais","host_organization_lineage":["https://openalex.org/I80849659"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3390/rs14020361","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14020361","pdf_url":"https://www.mdpi.com/2072-4292/14/2/361/pdf?version=1642126049","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1429890386","display_name":null,"funder_award_id":"(CNPq","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G3601516360","display_name":null,"funder_award_id":"Brazil","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5876210973","display_name":null,"funder_award_id":"312924/2017-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7559545828","display_name":null,"funder_award_id":"CNPq: 312924/2017-8","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4205464289.pdf","grobid_xml":"https://content.openalex.org/works/W4205464289.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1492558192","https://openalex.org/W1527055169","https://openalex.org/W1534491279","https://openalex.org/W1585330522","https://openalex.org/W1971760893","https://openalex.org/W2012540354","https://openalex.org/W2031030315","https://openalex.org/W2085277287","https://openalex.org/W2103096116","https://openalex.org/W2109757718","https://openalex.org/W2167822998","https://openalex.org/W2170508709","https://openalex.org/W2251608823","https://openalex.org/W2303613488","https://openalex.org/W2318186270","https://openalex.org/W2396432181","https://openalex.org/W2408822494","https://openalex.org/W2545539977","https://openalex.org/W2547517296","https://openalex.org/W2565954200","https://openalex.org/W2575992646","https://openalex.org/W2583601259","https://openalex.org/W2614271855","https://openalex.org/W2750821233","https://openalex.org/W2891766795","https://openalex.org/W2906780591","https://openalex.org/W2908623026","https://openalex.org/W2914439654","https://openalex.org/W2916905020","https://openalex.org/W2962841246","https://openalex.org/W2994432578","https://openalex.org/W2995295250","https://openalex.org/W2998047055","https://openalex.org/W3019576236","https://openalex.org/W3115193812","https://openalex.org/W3193127348","https://openalex.org/W6643245912","https://openalex.org/W6713367996","https://openalex.org/W6732349815"],"related_works":["https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W2361315595","https://openalex.org/W2602219756","https://openalex.org/W2092361839","https://openalex.org/W2360986010","https://openalex.org/W2383447469","https://openalex.org/W1605702723","https://openalex.org/W2371197140","https://openalex.org/W2089779414"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"post-process":[4],"and":[5,15,34,54,76,114,134,143,191],"evaluate":[6],"the":[7,25,60,80,98,106,145,156,159,168,173,192],"position":[8],"estimation":[9,182],"of":[10,12,37,103,108,112,124,131,140,158,188],"pairs":[11,36],"template":[13,42,179],"windows":[14],"geo-referenced":[16,82],"images":[17,38,152],"generated":[18],"from":[19,150],"LiDAR":[20,196],"cloud":[21],"point":[22],"data":[23,197,211],"using":[24,208],"Normalized":[26],"Cross-Correlation":[27],"(NCC)":[28],"method.":[29],"We":[30,51],"created":[31],"intensity,":[32,132],"surface":[33,77,115,133,151],"terrain":[35,86,95,118,135],"for":[39,126,138,176,185,200],"use":[40],"with":[41,44,178,195],"matching,":[43],"5":[45],"m":[46,68],"pixel":[47],"spacing,":[48],"through":[49],"binning.":[50],"evaluated":[52],"square":[53,71],"circular":[55],"binning":[56],"approaches,":[57],"without":[58],"filtering":[59],"original":[61],"data.":[62],"Template":[63],"matching":[64],"achieved":[65],"approximately":[66],"7":[67],"root":[69],"mean":[70],"error":[72],"(RMSE)":[73],"on":[74,79,85],"intensity":[75,113],"templates":[78,87,119],"respective":[81],"images,":[83],"while":[84],"it":[88],"had":[89,144],"many":[90],"mismatches":[91],"due":[92],"to":[93,214],"insufficient":[94],"features":[96,175],"over":[97,202],"assumed":[99],"flight":[100],"transect.":[101],"Analysis":[102],"NCC":[104,130],"showed":[105],"possibility":[107],"rejecting":[109],"bad":[110,141],"matches":[111,142],"templates,":[116],"but":[117,161],"required":[120],"an":[121],"additional":[122],"criteria":[123],"flatness":[125],"rejection.":[127],"The":[128],"combined":[129],"proved":[136],"stable":[137],"rejection":[139],"lowest":[146],"RMSE.":[147],"Filtering":[148],"outliers":[149],"changed":[153],"very":[154],"little":[155],"accuracy":[157],"matches,":[160],"greatly":[162],"improved":[163],"correlation":[164],"values,":[165],"indicating":[166],"that":[167],"forest":[169],"canopy":[170],"might":[171],"have":[172],"best":[174],"geo-localization":[177],"matching.":[180],"Position":[181],"is":[183],"essential":[184],"autonomous":[186],"navigation":[187],"aerial":[189],"vehicles":[190],"these":[193],"experiments":[194],"show":[198],"potential":[199],"localization":[201],"densely":[203],"forested":[204],"regions":[205],"where":[206],"methods":[207],"optical":[209],"camera":[210],"may":[212],"fail":[213],"acquire":[215],"distinguishable":[216],"features.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2022-01-25T00:00:00"}
