Research on tree detection method based on UAV LIDAR point cloud

As one of the most important natural resources, forest plays an irreplaceable role in human development and survival. Most of the traditional tree detection methods are artificial field surveys. This paper proposes to use a UAV equipped with LIDAR to fly on site to collect tree point cloud information, and then use deep learning method to extract forest tree feature information and segment trees by PointNet network, so as to achieve tree detection effect.