@inproceedings{ba989cfa8abd4cc48846dc1e8ff43915,
title = "3D Modeling of Riverbeds Based on NURBS Algorithm",
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.",
keywords = "3D modelling, Data reduction, NURBS, Riverbed visualization, USVs",
author = "Kaiyuan Yang and Caili Zhong and Xiaotian Zhang and Xiaohui Zhu and Yong Yue",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2020 ; Conference date: 26-06-2020 Through 28-06-2020",
year = "2020",
month = jun,
day = "26",
doi = "10.1145/3430199.3430239",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "163--167",
booktitle = "Proceedings of the 2020 3rd International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2020",
}