Application of Monte Carlo simulation in airborne modulated lidar for bathymetric detection

Dan Tan; Kecheng Yang; Jun Liang; Min Xia; Jingsong Liu

doi:10.1117/12.725745

29 January 2007 Application of Monte Carlo simulation in airborne modulated lidar for bathymetric detection

Dan Tan, Kecheng Yang, Jun Liang, Min Xia, Jingsong Liu

Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62796L (2007) https://doi.org/10.1117/12.725745
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China

Abstract

The sensitivity of lidar (light detection and ranging) and the contrast of immersed targets are strongly reduced by the volume backscattering clutter. To overcome this shortcoming it has been proposed to use a microwave modulation in association with an optical carrier at 532nm, which is called modulated lidar. This paper develops a Monte Carlo simulation for application of modulated pulse lidar (light detection and ranging) in bathymetric measurements. First, modulated light pulse propagation in ocean water is simulated by a Monte Carlo model. Second, the echo signal is processed by advanced mathematical tools like cross-correlation and numerical filtering. The simulation results reveal the capability of the modulation approach in suppressing the water backscattering and enhancing the target contrast for the bathymetric field. Furthermore, more simulation experiments are performed with various ocean depth to study the detection performance in different environment. Details of this simulation model, in addition to the simulation results are presented.

Citation Download Citation

Dan Tan, Kecheng Yang, Jun Liang, Min Xia, and Jingsong Liu "Application of Monte Carlo simulation in airborne modulated lidar for bathymetric detection", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62796L (29 January 2007); https://doi.org/10.1117/12.725745

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available