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3D Modeling of Coarse Fluvial Sediments Based on Mobile Laser Scanning Data

机译:基于移动激光扫描数据的粗河道沉积物的3D建模

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High quality sedimentary measurements are required for studying fluvial geomorphology and hydrological processes e.g., flood and river dynamics. Mobile laser scanning (MLS) currently provides the opportunity to achieve high precision measurements of coarse fluvial sediments in a large survey area. Our study aims to investigate the capability of single-track MLS data for individual particle-based sediment modeling. Individual particles are firstly detected and delineated from a digital surface model (DSM) that is generated from the MLS data. 3D MLS points of each detected individual particle are then extracted from the point cloud. The grain size and the sphericity as well as the orientation of each individual particle are estimated based on the extracted MLS points. According to the evaluations conduced in the paper, it is possible to detect and to model sediment particles above 63 mm from a single-track MLS point cloud with a high reliability. The paper further discusses the strength and the challenges of individual particle-based approach for sedimentary measurement.
机译:研究河流地貌和水文过程(例如洪水和河流动力学)需要高质量的沉积测量。当前,移动激光扫描(MLS)提供了在较大的调查区域中实现对河流粗颗粒沉积物进行高精度测量的机会。我们的研究旨在调查单轨MLS数据用于基于颗粒的单个沉积物建模的能力。首先检测单个颗粒,并根据从MLS数据生成的数字表面模型(DSM)描绘出单个颗粒。然后从点云中提取每个检测到的单个粒子的3D MLS点。基于提取的MLS点估算晶粒大小和球形度以及每个单个粒子的方向。根据本文进行的评估,可以以高可靠性检测和建模单轨MLS点云中63 mm以上的沉积物颗粒。本文进一步讨论了基于粒子的沉积测量方法的优势和挑战。

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