Volume 49 Issue 2
Mar.  2020
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Cui Xiaoyu, Tao Yuting, Liu Qun, Xu Peituo, Liu Zhipeng, Wang Xiaobin, Zhou Yudi, Chen Yang, Liu Dong. Software to simulate spaceborne oceanic lidar returns using semianalytic Monte Carlo technique[J]. Infrared and Laser Engineering, 2020, 49(2): 0203009-0203009. doi: 10.3788/IRLA202049.0203009
Citation: Cui Xiaoyu, Tao Yuting, Liu Qun, Xu Peituo, Liu Zhipeng, Wang Xiaobin, Zhou Yudi, Chen Yang, Liu Dong. Software to simulate spaceborne oceanic lidar returns using semianalytic Monte Carlo technique[J]. Infrared and Laser Engineering, 2020, 49(2): 0203009-0203009. doi: 10.3788/IRLA202049.0203009

Software to simulate spaceborne oceanic lidar returns using semianalytic Monte Carlo technique

doi: 10.3788/IRLA202049.0203009
  • Received Date: 2019-10-11
  • Rev Recd Date: 2019-11-21
  • Publish Date: 2020-03-02
  • In this paper, a spaceborne oceanic lidar simulation system used semianalytic Monte Carlo method was developed. The system can simulate the lidar returns of the atmosphere and the ocean with different optical properties through entering the parameters of the lidar system and the environmental parameters. At the same time, a user-friendly software interface for users was designed to operate input parameters and observe the output results intuitively. A variety of simulations was done, such as different types of water and different scattering phase functions. The simulation results were highly consistent with the theoretical lidar equations. The system was important to the research on the detection mechanism of spaceborne oceanic lidars.
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Software to simulate spaceborne oceanic lidar returns using semianalytic Monte Carlo technique

doi: 10.3788/IRLA202049.0203009
  • State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China

Abstract: In this paper, a spaceborne oceanic lidar simulation system used semianalytic Monte Carlo method was developed. The system can simulate the lidar returns of the atmosphere and the ocean with different optical properties through entering the parameters of the lidar system and the environmental parameters. At the same time, a user-friendly software interface for users was designed to operate input parameters and observe the output results intuitively. A variety of simulations was done, such as different types of water and different scattering phase functions. The simulation results were highly consistent with the theoretical lidar equations. The system was important to the research on the detection mechanism of spaceborne oceanic lidars.

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