Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 397-400, 2014
https://doi.org/10.5194/isprsarchives-XL-1-397-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Nov 2014
Multi-view Dense Match for Forest Area
W. Tao Guangzhou Institute of Geography, Guangzhou, China
Keywords: Lidar, dense matching, forest Abstract. 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 eavluate different methods by using multi-view 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.
Conference paper (PDF, 661 KB)


Citation: Tao, W.: Multi-view Dense Match for Forest Area, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 397-400, https://doi.org/10.5194/isprsarchives-XL-1-397-2014, 2014.

BibTeX EndNote Reference Manager XML