3D Modeling of Riverbeds Based on NURBS Algorithm

Kaiyuan Yang, Cai Zhong, Xiaotian Zhang, Xiaohui Zhu, Yong Yue
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Abstract

Modelling and visualization of riverbeds can provide topographic features and sedimentation distribution of river systems, which is essential to support water environment management. We developed a novel approach for building 3-dimensional (3D) models and visualization of riverbeds based on a non-uniform Rational B-Spline (NURBS) algorithm. We used an Unmanned Surface Vehicle (USV) to collect water depth and GPS positions of a river system for modelling. A data reduction method was proposed to accelerate the modelling process while keeping the model accuracy. To obtain a more realistic 3D model of a riverbed, we applied an algorithm to optimize weight factors of control points. We achieved the algorithm on MATLAB, and experimental results show that the algorithm can visualize topographic features and sedimentation distribution of riverbeds in 3D models.
基于NURBS算法的河床三维建模
河床的建模和可视化可以提供河流水系的地形特征和沉积分布,这对水环境管理至关重要。我们开发了一种基于非均匀Rational b样条(NURBS)算法的建立三维(3D)模型和河床可视化的新方法。我们使用无人水面车辆(USV)来收集河流系统的水深和GPS位置以进行建模。提出了一种数据约简方法,在保证模型精度的同时加快建模速度。为了获得更真实的河床三维模型,我们应用了一种算法来优化控制点的权重因子。我们在MATLAB上实现了该算法,实验结果表明,该算法可以将河床的地形特征和沉积分布以三维模型的形式可视化。
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