Dense Point Cloud Extraction from UAV Captured Images in Forest Area
LIDAR (Light Detection And Ranging) is widely used in forestry applications to obtain information about tree density, composition, change, etc. An advantage of LIDAR is its ability to get this information in a 3D structure. However, the density of LIDAR data is low, the acquisition of LIDAR data is often very expensive, and it is difficult to be utilised in small areas. In this article we present an alternative to LIDAR by using a UAV (Unmanned Aerial Vehicle) to acquire high resolution images of the forest. Using the dense match method a dense point cloud can be generated. Our analysis shows that this method can provide a good alternative to using LIDAR in situations such as these.
UAV Dense Match Point Cloud Forest SFM
Wang Tao Yan Lei Peter Mooney
Beijing Key lab of Spatial Information Intergration and Its Applications (Peking University),China Department of Computer Science,National University of Ireland Maynooth (NUIM),Co.Kildare. Ireland.
国际会议
福州
英文
389-392
2011-06-29（万方平台首次上网日期，不代表论文的发表时间）