An Ecological Irrigation Canal Extraction Algorithm Based on Airborne Lidar Point Cloud Data

Accurate and efficient extraction of ecological irrigation canals plays a key role in realizing agricultural modernization. In view of the problem of ecological irrigation canal extraction, this paper proposes an airborne lidar extraction method based on unmanned aerial vehicle (UAV). First, the method of acquiring 3D point cloud data on the ground is derived. The filtering method of mathematical morphology is used to remove ground noise. Then, the characteristic line of the ecological irrigation canal is extracted, a new threshold selection method is put forward according to the characteristics of the ecological irrigation canal. It is helpful to further accurately extract the characteristic lines of the ecological irrigation canal. Finally, the characteristics of the three-dimensional point cloud data and the characteristics of the reflection intensity are analyzed. It is significant to distinguish the ecological irrigation canals and other disturbing terrain. Compared with the traditional extraction method (such as machine vision), the method has the advantages of high efficiency, high precision and no artificial parameters. The model of a small ecological irrigation canal was established by Matlab. It has important practical value for the later planning of ecological irrigation canals and the acceleration of agricultural modernization.