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Published in:
2020 | OriginalPaper | Chapter
Analysis of Ocean Depth Detection Capability of Spaceborne Lidar Based on Monte Carlo Method
Authors : Zhenyue Hu, Chenguang Zhao, Xinwei Zhang, Gao Hongtao, Shaohui Li
Published in: Signal and Information Processing, Networking and Computers
Publisher: Springer Singapore
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Abstract
In order to evaluate and analyze the detection performance of lidar for optical properties in global ocean, the ability of the spaceborne lidar system to detect ocean water color profiles is evaluated by calculating the laser radar echo signal and the lidar detection signal to noise ratio. Monte Carlo method was used to calculate the signal-to-noise ratio, and the effect of layered water on the return signal was analyzed in combination with the Morley model. When other conditions were fixed, the greater the chlorophyll concentration of the water, the higher the intensity of the return signal. Analysis results show that the detection depth can reach 50 m, which can meet the measurement requirements of the coastal zone and the reef. By analyzing the influence of laser energy and receiving aperture on the depth of detection, the optimal design idea of the system is proposed, which can be used as a reference for system design.