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Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters

机译:极浅水域LiDAR测深的全波表面和底部探测算法的设计和评估

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摘要

Airborne Laser Bathymetry (ALB) is an attractive technology for the measurement of shallow water bodies because of the high acquisition rate and high point densities that can be achieved. Of special interest is the application of ALB in non-navigable areas where the only alternatives are conventional terrestrial surveying by wading with a pole, multi-media photogrammetry, or spectrally based depth retrieval. The challenge for laser based approaches in such very shallow waters ( 2 m) is the difficulty of discriminating between echoes from the surface and the bottom. This work presents an algorithm for the detection of surface, volume, and bottom (SVB) designed to meet this challenge while requiring only a single wavelength (532 nm) sensor. The accuracy of the algorithm is cross validated against reference measurements obtained from terrestrial survey with a total station and shows negligible bias and virtually no depth dependence for the experimental dataset.
机译:机载激光测深法(ALB)是一种用于浅水体测量的引人注目的技术,因为它可以实现高采集率和高点密度。特别令人感兴趣的是ALB在不可通行区域的应用,在该区域中,唯一的选择是通过用极杆涉水,多媒体摄影测量法或基于光谱的深度检索来进行常规地面测量。在如此非常浅的水域(<2 m)中,基于激光的方法面临的挑战是难以区分来自表面和底部的回波。这项工作提出了一种用于检测表面,体积和底部(SVB)的算法,旨在仅需一个波长(532 nm)传感器即可满足这一挑战。该算法的准确性与通过全站仪从地面勘测获得的参考测量值进行了交叉验证,并且对于实验数据集显示的偏差可忽略不计,并且几乎没有深度依赖性。

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