{"title":"Aerial imagery terrain classification for long-range autonomous navigation","authors":"Robert Hudjakov, M. Tamre","doi":"10.1109/ISOT.2009.5326104","DOIUrl":null,"url":null,"abstract":"This article focuses on the problem of terrain classification from aerial imagery with the intention to increase Unmanned Ground Vehicle (UGV) road and off-road performance by providing means to analyze data from Unmanned Aerial Vehicle (UAV).","PeriodicalId":366216,"journal":{"name":"2009 International Symposium on Optomechatronic Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Symposium on Optomechatronic Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOT.2009.5326104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
This article focuses on the problem of terrain classification from aerial imagery with the intention to increase Unmanned Ground Vehicle (UGV) road and off-road performance by providing means to analyze data from Unmanned Aerial Vehicle (UAV).