2021 Volume 77 Issue 2 Pages I_119-I_127
Pavement industries actively promote the application of information and communication technologies measuring three dimensional point clouds to improving the productivity of construction and management activities. However, data treatment of point clouds simultaneously imposes more computational effort than traditional profile-based data analysis, and then requires an efficient and rational analysis method. This study proposes an efficient analysis method of road surface point clouds with the dual-tree complex wavelet transform (DTCWT) which allows high-efficient multiresolution analysis providing multi-dimensional filtering algorithm. This study introduces DTCWT for improving the analysis efficiency of road surface point clouds. A result of a field experiment shows that DTCWT overcomes the conventional filtering problem by enabling effective filtering combined with waveband decomposition and its orientation. Consequently, DTCWT contributes to the analysis of road surface point clouds efficiently and rationally in terms of the data decomposition and visualization.
