{"title":"远程自主导航的航空图像地形分类","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":"{\"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}","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}
Aerial imagery terrain classification for long-range autonomous navigation
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).