Laser point cloud-oriented single tree segmentation method based on Faster R-CNN

Abstract

The invention discloses a Laser point cloud-oriented single tree segmentation method based on Faster R-CNN. The method comprises the steps of obtaining forest stand point cloud data; calculating pointcloud features of the scanned forest segments to realize branch and leaf separation of forest segment point cloud data; performing adaptive voxelization operation on the main point cloud data of theforest stand, and performing multi-angle projection on the main point cloud data to generate a corresponding depth image; detecting a trunk in the generated depth image by adopting a deep learning method; and obtaining the spatial three-dimensional point cloud of the corresponding trunk through back projection by utilizing the position information of the trunk in the detected depth image; and taking the obtained point cloud of the trunk part as a seed point, and combining a region growing algorithm to realize individual tree separation. According to the method, a deep learning method is adopted, learning is carried out by means of big data samples, the accuracy of individual tree segmentation is higher, and possibility is provided for accurately solving the problem of individual rubber tree segmentation based on LiDAR data of the ground by using deep learning.

Description

technical field [0001] The invention relates to the technical field of individual plant separation, in particular to a laser point cloud-based single tree segmentation method based on Faster R-CNN. Background technique [0002] As an important industrial raw material and strategic material, natural rubber widely planted in tropical areas plays an increasingly prominent role in national economic construction. However, rubber trees are wild species in the Amazon River Basin in South America, and there are no wild resources in our country, so most of the rubber forests in our country are pure artificial forests. As the largest rubber production base in my country, Hainan has nearly 8 million acres of rubber forests, forming the largest artificial ecosystem. However, due to its geographical location, it is often disturbed by typhoons. According to statistics, in the past 60 years, Hainan Island has been hit by more than 100 typhoons. Typhoons occur in a short period of time a...

AI Technical Summary

Problems solved by technology

However, accurate individual canopy segmentation using ground-moving lidar is still challenging, especially for ecological forests with irregular canopy heights and severe crossings.

Although some pioneering studies have been reported on the detection of tree trunk locations from ground-moving lidar data for tree segmentation, there are still two problems with this class of methods: (1) the deformation of the wood composition of the studied trees due to long-term exposure to hurricane disasters (2) The robustness and versatility of the single tree segmentation model for ground mobile LiDAR data needs further research

Images