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A Hovercraft-Borne LiDAR and a Comprehensive Filtering Method for the Topographic Survey of Mudflats

1
School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China
3
Department of Artifical Intelligence and Automation, School of Electrical Engineering and Automation, Wuhan University, 8 South Donghu Road, Wuhan 430072, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(14), 1646; https://doi.org/10.3390/rs11141646
Received: 10 June 2019 / Revised: 6 July 2019 / Accepted: 8 July 2019 / Published: 10 July 2019
(This article belongs to the Section Engineering Remote Sensing)
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Abstract

To obtain the mudflat topography when existing measuring systems and data processing methods are impracticable under special conditions, this paper presents a hovercraft-borne LiDAR (light detection and ranging) system and a novel comprehensive filtering method. The system is based on a hovercraft and equipped with a laser scanner and a POS (position and orientation system). The filtering method firstly segments the point cloud into different segments by combining the geometric and intensity information, then fitting the ground surface by cloth simulation method, and finally synthetically extracts the ground points with three constraints. These constraints are the distance of the point to the fitting surface, the normal difference between the point and the fitting surface, and the proportion of the possible ground points in the total points of each segment. The effectiveness of the measurement system and the development of the post-processing results were verified on the basis of field measurements, in which a total filtering error of 0.3% and the elevation accuracy of 6.4 cm were obtained. The proposed system and methods provide a new way for efficient and accurate topographic survey on mudflats. View Full-Text
Keywords: mudflat topography; laser scanning; mobile mapping system; point cloud filtering mudflat topography; laser scanning; mobile mapping system; point cloud filtering
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Zhao, J.; Chen, M.; Zhang, H.; Zheng, G. A Hovercraft-Borne LiDAR and a Comprehensive Filtering Method for the Topographic Survey of Mudflats. Remote Sens. 2019, 11, 1646.

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