Panoramic reconstruction of central green belt of different levels of highway based on UAV platform

Abstract

In order to reconstruct the panoramic model and extract plant community structure characteristics rapidly and accurately for the highway central green belt, a method for rapidly acquiring images of the targets highway central green belt using quad rotor unmanned aerial vehicle (UAV) and digital image processing techniques is explored. It has the advantages of real-time, high flexibility and low cost to obtain the plant information of the green belt in the middle of the road based on the low-altitude unmanned aerial vehicle. The results show that the images acquired with a lower flight height (30 m and 50 m) can be used to produce rather high quality Ortho-mosaic, 3D point cloud reconstruction and ideal digital surface model. The density of 3D reconstruction point cloud for the target sections is even, and the single-pixel resolution of the ortho-mosaic image can reach 0.67 cm and 1.0 cm, respectively. Thus, it can be seen that the UAV platform can obtain high-precision panoramic reconstruction of monitoring areas with different road types.