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ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING

机译:基于超高精度无人机的激光雷达和密集图像匹配

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摘要

This paper presents a study on the potential of ultra-high accurate UAV-based 3D data capture. It is motivated by a project aiming at the deformation monitoring of a ship lock and its surrounding. This study is part of a research and development project initiated by the German Federal Institute of Hydrology (BfG) in Koblenz in partnership with the Office of Development of Neckar River Heidelberg (ANH). For this first official presentation of the project, data from the first flight campaign will be analysed and presented. Despite the fact that monitoring aspects cannot be discussed before data from additional flight campaigns will be available later this year, our results from the first campaign highlight the potential of high-end UAV-based image and LiDAR sensors and their data fusion. So far, only techniques from engineering geodesy could fulfil the aspired accuracy demands in the range of millimetres. To the knowledge of the authors, this paper for the first time addresses such ultra-high accuracy applications by combing high precision UAV-based LiDAR and dense image matching. As the paper is written at an early stage of processing only preliminary results can be given here.
机译:本文提出了一项基于超高精度无人机的3D数据捕获潜力的研究。它是由旨在监控船闸及其周围环境的变形的项目所激发的。这项研究是德国科布伦茨联邦水文研究所(BfG)与内卡河海德堡发展办公室(ANH)合作发起的一项研究和开发项目的一部分。对于该项目的首次正式演示,将分析和展示来自第一次飞行战役的数据。尽管事实上无法在今年晚些时候获得更多飞行战役的数据之前讨论监视方面的问题,但我们从第一次战役获得的结果凸显了高端基于无人机的图像和LiDAR传感器及其数据融合的潜力。到目前为止,只有来自工程大地测量学的技术才能满足毫米范围内所要求的精度要求。据作者所知,本文首次结合了基于无人机的高精度LiDAR和密集图像匹配,解决了这种超高精度应用。由于本文是在处理的早期阶段撰写的,此处只能给出初步结果。

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