Application of Point Cloud Data Processing in River Regulation

摘要

Geotextile materials are often used in river regulation projects to cut down sand loss caused by water erosion, to thus ensure a stable and safe river bed. In order to measure the overlap width in the geotextile-laying procedure, we proposed a point processing method for cloud data, which engages point cloud data obtained by 3-D imaging sonar to do automatic measurements. Firstly, random sampling and consensus point cloud segmentation and outer point filtering based on statistical analysis on density were used to extract the upper and lower plane data of the geotextile. Secondly, cluster classification was used to obtain the edge point cloud. Lastly, edge characteristic parameters were extracted by linear fitting, and the overlap width in geotextile laying was calculated. Results show that this measurement scheme is feasible, robust, and accurate enough to meet the requirements in real-life engineering.