| Abstract [eng] |
In today's world we are surrounded by various objects. In order to better understand and explore, we need to move to a virtual environment in order to optimize and research. Manual data analysis requires a lot of time and due to the abundance of data becomes very difficult. For this reason, are used computer algorithms, which aim to ensure the rapid and qualitative detection of objects. In order to stand out against the many other objects in the environment required for devices that would do it. LIDAR (Light Detection and Ranging) device collects data about objects. On the thesis there are attempts to find suitable methods capable of processing LIDAR data. The goal is to precisely distinguish objects and to make it possible to distinguish the Earth's surface points and methods, who help identify the cylinders, like tree trunks. It was made quantitative methods of analysis that are compared between each other. All the used methods are described in details in the theoretical part. |
