Design of LiDAR optical-mechanical system for water depth measurement

Zhou Guoqing; Zhou Xiang; Hu Haocheng; Xu Jiasheng

doi:10.3788/IRLA202049.0203006

A combination of formula derivation and simulation optimization was used to design a LiDAR optical-mechanical system for measuring water depth. The light source of this system used 532 nm and 1 064 nm dual-frequency lasers. Three receiving channels of 532, 647 and 1 064 nm were designed. The planned flight height was 140-500 m, the variable scanning angle is 9°-15°, the divergence angle was less than 0.5 mrad, and the surface point density range was about 0.687-4.170 points/m². In this paper, Raman band was designed as a water depth measurement band to improve the measurement effect in shallow water. The variable scanning angle was used to realize the functions of variable resolution under a fixable width and the consideration of high precision and large field of view to adapt to different application scenarios.

Design of LiDAR optical-mechanical system for water depth measurement

1. School of Microelectronics, Tianjin University, Tianjin 300072, China;

2. Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin 541006, China;

3. College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541006, China;

4. College of Earth Sciences, Guilin University of Technology, Guilin 541006, China

Received Date: 2019-11-05

Rev Recd Date: 2019-12-24

Publish Date: 2020-03-02

Key words:

Abstract: A combination of formula derivation and simulation optimization was used to design a LiDAR optical-mechanical system for measuring water depth. The light source of this system used 532 nm and 1 064 nm dual-frequency lasers. Three receiving channels of 532, 647 and 1 064 nm were designed. The planned flight height was 140-500 m, the variable scanning angle is 9°-15°, the divergence angle was less than 0.5 mrad, and the surface point density range was about 0.687-4.170 points/m². In this paper, Raman band was designed as a water depth measurement band to improve the measurement effect in shallow water. The variable scanning angle was used to realize the functions of variable resolution under a fixable width and the consideration of high precision and large field of view to adapt to different application scenarios.

HTML

Reference (15)

[1]	Allouis T, Bailly Jean-Stephane, Pastol Yves, et al. Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals[J]. Earth Surface Processes and Landforms, 2010, 35(6):640-650.
[2]	Pe'eri S, Morgan Lynnette V, Philpot William D, et al. Land-water interface resolved from airborne LIDAR bathymetry (ALB) waveforms[J]. Journal of Coastal Research, 2011, 62:75-85.
[3]	Saylam K, Hupp John R, Averett Aaron R, et al. Airborne lidar bathymetry:assessing quality assurance and quality control methods with Leica Chiroptera examples[J]. International Journal of Remote Sensing, 2018, 39(8):2518-2542.
[4]	Saylam K, Brown Rebecca A, Hupp John, et al. Assessment of depth and turbidity with airborne Lidar bathymetry and multiband satellite imagery in shallow water bodies of the alaskan north slope[J]. International Journal of Applied Earth Observation and Geoinformation, 2017, 58:191-200.
[5]	Irish J L, Lillycrop W J. Scanning laser mapping of the coastal zone:the SHOALS system[J]. Isprs Journal of Photogrammetry and Remote Sensing, 1999, 54(2-3):123-129.
[6]	Kinzel Paul J, Legleiter C J, Nelson J M, et al. Mapping river bathymetry with a small footprint green LiDAR:Applications and challenges[J]. Journal of the American Water Resources Association, 2013, 49(1):183-204.
[7]	Narayanan R, Sohn Gunho, Kim Heungsik B, et al. Soft classification of mixed seabed objects based on fuzzy clustering analysis using airborne LIDAR bathymetry data[J]. Journal of Applied Remote Sensing, 2011, 5(1):053534.
[8]	Fernandez-Diaz Juan Carlos, Glennie Craig L, Carter William E, et al. Early results of simultaneous terrain and shallow water bathymetry mapping using a single-wavelength airborne LiDAR sensor[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(2):623-635.
[9]	Allouis T, Bailly Jean-Stephane, Pastol Yves, et al. Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman, near-infrared and green signals[J]. Earth Surface Processes and Landforms, 2010, 35(6):640-650.
[10]	Pe'eri S, Morgan Lynnette V, Philpot William D, et al. Land-water interface resolved from airborne Lidar bathymetry (ALB) waveforms[J]. Journal of Coastal Research, 2011, 62:75-85.
[11]	Li Jianxin. Design and simulation of laser collimation and beam expansion[J]. Equipment Manufacturing Technology, 2009(3):28-31.
[12]	Zhang Yimo. Applied Optics[M]. Beijing:Electronic Industry Press, 2008:295-297. (in Chinese)
[13]	Zhou Guoqing, Zhou Xiang. Imaging Principle Technology and Application of Area Array Lidar[M]. Wuhan:Wuhan University Press, 2017:56-57.
[14]	Zhu Jingguo, Li Feng, Huang Qitai, et al. Design and implementation of dual wedge scanning system for airborne lidar[J]. Infrared and Laser Engineering, 2016, 45(5):0502001. (in Chinese)
[15]	Zhou G, Zhou X, Yang J, et al. Flash lidar sensor using fiber coupled APDs[J]. IEEE Sensor Journal, 2015, 45(5):9-14.

Design of LiDAR optical-mechanical system for water depth measurement

doi: 10.3788/IRLA202049.0203006

Abstract

Proportional views

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Related

Proportional views