Range Difference Between Shallow and Deep Channels of Airborne Bathymetry LiDAR With Segmented Field-of-View Receivers

Li, Jizhe; Tao, Bangyi; He, Yan; Li, Youzhi; Huang, Haiqing; Mao, Zhihua; Yu, Jiangying

doi:10.1109/tgrs.2022.3172351

Cited by 5 publications

(1 citation statement)

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“…During the process of Gaussian decomposition, several factors influence the final bathymetric accuracy: (1) The overlaps of the sea-surface and -bottom signals in extremely shallow water [ 39 , 40 ]. (2) The signal components, which are difficult to precisely extract owing to both the instrument-derived and random noises from different atmospheric and water environments; for example, the bottom signal would overlap with the noise in relatively deep water, which makes recognition difficult [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

An Assessment of Waveform Processing for a Single-Beam Bathymetric LiDAR System (SBLS-1)

Chen

Liu

Lin

et al. 2022

Sensors

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The single-beam bathymetric light detection and ranging (LiDAR) system 1 (SBLS-1), which is equipped with a 532-nm-band laser projector and two concentric-circle receivers for shallow- and deep-water echo signals, is a lightweight and convenient prototype instrument with low energy consumption. In this study, a novel LiDAR bathymetric method is utilized to achieve single-beam and dual-channel bathymetric characteristics, and an adaptive extraction method is proposed based on the cumulative standard deviation of the peak and trough, which is mainly used to extract the signal segment and eliminate system and random noise. To adapt the dual-channel bathymetric mechanism, an automatic channel-selection method was used at various water depths. A minimum half-wavelength Gaussian iterative decomposition is proposed to improve the detection accuracy of the surface- and bottom-water waveform components and ensure bathymetric accuracy and reliability. Based on a comparison between the experimental results and in situ data, it was found that the SBLS-1 obtained a bathymetric accuracy and RMSE of 0.27 m and 0.23 m at the Weifang and Qingdao test fields. This indicates that the SBLS-1 was bathymetrically capable of acquiring a reliable, high-efficiency waveform dataset. Hence, the novel LiDAR bathymetric method can effectively achieve high-accuracy near-shore bathymetry.

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Section: Introductionmentioning

confidence: 99%