Research On Tree Trunk Reconstruction And Characteristic Extraction Based On 3D Laser Scanning

The reconstruction of the 3D model of forest trees plays an important role in forestry applications.The acquisition of tree-like tree factor and shape information is an indispensable part of modem precision forestry mapping and resource survey,and can also be used for precision plant protection and forestry.The basis for navigation is provided.The 3D point cloud information of the forest is acquired by the handheld 3D lidar circular scanning method,and then the tree tree measuring factor and the external dimensions are extracted.Under the premise of not damaging the forest,the handheld 3D laser radar scanning technology is a new type of mapping technology,which can acquire the 3D point cloud data of forest trees accurately,quickly and efficiently.This paper is based on the 3D laser point cloud data acquisition system,which combines the data of 3D laser radar and IMU inertial measurement unit to complete the inter-frame matching of forest 3D point cloud data in real time.In different test areas,the three-dimensional laser point cloud data acquisition system equipment of the aluminum rod is used to scan the trees in the test area in the form of closed loops,and the three-dimensional point cloud data information of the forest in the test area is obtained,and the three-dimensional forest tree obtained by using MATLAB software is used.Point cloud information for offline analysis processing.The MATLAB software is used to analyze the 3D point cloud data files of the visualization forest,and the ground point cloud and the forest point cloud are effectively separated and the ground point cloud is removed,and the trunk data is clustered and analyzed.The least square method is used to fit the circle and Alpha Shape to extract the characteristics of the trunk and the diameter of the trunk.The measured value of the measured diameter of the trunk is compared with the real value.The comparative analysis shows that the 3D laser point cloud data acquisition system can realize the non-destructive detection of the DBH.The least square method fitting circle algorithm is used to obtain the DBH from the trunk point cloud data of the abnormal point.The average absolute error is within 3 cm and the accuracy is over 90%.