Application of 3D real scene modeling and point cloud projection analysis in rock mass crack identification
This study explored the application of unmanned aerial vehicle(UAV)-based three-dimensional(3D)real scene modeling technology and point cloud projection analysis in rock mass crack identification.Firstly,a UAV equipped with a high-definition camera lens was used to conduct high-precision 3D real scene scanning of the rock mass and obtain a large amount of surface data of the rock mass.Secondly,through image processing and 3D reconstruction algorithms,the obtained data was processed and analyzed to achieve accurate identification and measurement of rock mass cracks.Finally,according to on-site verification and actual geological exploration needs,the feasibility and effectiveness of this technology in identifying rock mass cracks were verified.The research results indicate that UAV-based 3D real scene modeling and point cloud projection analysis can achieve high-precision identification and 3D reconstruction of rock mass cracks,and the accuracy of crack identification has increased from 83.4%to 93.1%,while the omission rate has decreased from 30.3%to 15.4%.This technology not only has significant advantages in improving identification accuracy and efficiency but also can reduce the labor and material costs in traditional rock mass exploration.
unmanned aerial vehicle(UAV)three-dimensional(3D)real scene modelingrock mass crack identificationpoint cloud projection
万方数据
维普
