Research On The Application Of Related Technologies For Shipborne 3D Measurement System

This article focuses on the point cloud data of shipborne 3D measurement systems and the engineering application of integrated ashore and underwater data.Based on the analysis of data collection methods and data characteristics of shipborne 3D measurement systems,we focused on the study of the organization,indexing,visualization,and overall formation of ashore and underwater topography of shipborne point cloud data,and made a more systematic experiment and analysis,built a point cloud data processing and visualization software system.The main work and innovation of this article are as follows:1.Starting from the system components of the shipborne 3D measurement system,the data acquisition method of shipborne 3D measurement systems was analyzed.The characteristics of shipborne point cloud data were quantitatively analyzed from the aspects of data volume,information characteristics,and spatial characteristics.They lay the foundation for subsequent processing and application.2.A point cloud data organization scheme of adaptive rule grid and KD tree hybrid index is proposed.In combination with the tile search algorithm,the index of point cloud data in the visible area is obtained,and then the point cloud data can be quickly visualized.3.An ashore and underwater boundary extraction algorithm based on ship point cloud data is proposed.Combined with the characteristics of the onshore point cloud data collected by the shipborne 3D measurement system in the direction along the underwater boundary line,the rough extraction of the underwater and underwater boundary lines was realized.On this basis,the nearest-neighbor mean-optimization algorithm and the probabilistic mean-optimization algorithm are applied to the fine extraction of ashore and underwater boundary lines,respectively,to realize the fine extraction of ashore and underwater boundary lines.The experimental results show that the two optimization algorithms can effectively improve the accuracy of ashore and underwater boundary extraction.4.According to the data extracted from ashore and underwater boundary lines,combined with underwater data collected by multi-beam depth sounder,a point cloud data mosaic interpolation algorithm based on spatial guide lines is proposed.By matching the boundary points between the ashore and underwater boundary lines and the river bottom data,the two ends of the space guideline are identified,spatial data point interpolation is performed,and the overall splicing of the channel terrain is achieved.Ultimately,the resulting overall channel is used for spatial analysis of the channel surface area,water storage capacity,and volume of earthwork.5.According to the actual requirements of shipborne point cloud data processing and visualization,combined with multi-thread display rendering,a point cloud data processing and visualization software system was designed and implemented.It has the functions of point cloud data reading and writing,fast visualization,extraction of ashore and underwater boundary lines and the generation of channel terrain,which can basically meet the actual engineering needs.