A Three-Dimensional Visualization Framework for Underground Geohazard Recognition on Urban Road-Facing GPR Data

ISPRS International Journal of Geo-Information

Zhenwu Wang¹  Benting Wan²  Mengjie Han³ 

[1] Department of Computer Science and Technology, China University of Mining and Technology, Beijing 100083, China;School of Software and IoT Engineering, Jiangxi University of Finance &Economics, Nanchang 330013, China;School of Technology and Business Studies, Dalarna University, 79188 Falun, Sweden;

关键词: underground geohazards;    interactive visualization framework;    GPR;    Kriging algorithm;   

DOI  :  10.3390/ijgi9110668

来源: DOAJ

【 摘 要 】

The identification of underground geohazards is always a difficult issue in the field of underground public safety. This study proposes an interactive visualization framework for underground geohazard recognition on urban roads, which constructs a whole recognition workflow by incorporating data collection, preprocessing, modeling, rendering and analyzing. In this framework, two proposed sampling point selection methods have been adopted to enhance the interpolated accuracy for the Kriging algorithm based on ground penetrating radar (GPR) technology. An improved Kriging algorithm was put forward, which applies a particle swarm optimization (PSO) algorithm to optimize the Kriging parameters and adopts in parallel the Compute Unified Device Architecture (CUDA) to run the PSO algorithm on the GPU side in order to raise the interpolated efficiency. Furthermore, a layer-constrained triangulated irregular network algorithm was proposed to construct the 3D geohazard bodies and the space geometry method was used to compute their volume information. The study also presents an implementation system to demonstrate the application of the framework and its related algorithms. This system makes a significant contribution to the demonstration and understanding of underground geohazard recognition in a three-dimensional environment.

【 授权许可】

Unknown