When light travels in water, the state of polarization of the incident light changes as the photons are scattered with suspended particles or reflected on the target surface. In order to increase the working distance, underwater polarized light imaging (UPLI) technology usually makes use of the different depolarization effect between the water body and target on the incident polarized light to filter the backscattered light. So it is significant to study the depolarization characteristics of polarized light in water. In this paper, a Field Monte Carlo (EMC) program is developed to simulate the transmission characteristics of polarized light in water with specific particle and attenuation coefficient. EMC method is different from the traditional Monte Carlo method which tracks the Stokes vector of the beam. It uses the Jones mechanism to characterize the polarization state of the photons. By tracking the two vertical components of the photonic vibrating electric vector, the polarization state and the depolarization effect of polarized light transmitted through a body of water can be obtained. The simulation results are based on horizontal polarization, vertical polarization, 45 degree linearly polarized light(LPL) and right circularly polarized light(CPL) as incident light , Stokes vectors of four types of received light is obtained respectively, and the related parameters are calculated to analyze the polarization memory performance. The numerical results show that water body have good polarization memory property and the influence of the particle size and the attenuation coefficient on the LPL is obvious than that circularly of the polarized light, and the CPL has better polarization memory ability.
Active underwater imaging systems, using an artificial light source for underwater target illumination, have preferable practical value in military and civil domain. Back-scattering of water impacts imaging system performance by reducing image contrast, and this is especially bad when the light source is close to the camera. Range-gated technique can effectively rejecting the back-scattering of water and improve the range of underwater target detection, while it can only collect image at certain distance for every laser impulse. High-repetition-rate green laser is a better light source in underwater range-gated imaging system. It has smaller pulse energy, while it can improve the imaging result. In order to illuminate the proper area underwater according to the different distance between the laser source and targets, there must be a magnifying-ratio variable beam expander to adjust the divergent angle of the laser. Challenges associated with magnifying-ratio computation and designing of beam expander are difficult to overcome due to the obvious refraction and forward-scattering of water.
An efficiency computing method is presented to obtain the magnifying-ratio of beam expander. The illuminating area of laser beam can be computed according to the refraction index and beam spread function (BSF) which has already considered forward-scattering process. The magnifying-ratio range of beam expander should be 0.925~3.09 in order to obtain about φ1m illuminating area when the distance between laser and target is 10~40m. A magnifying-ratio variable beam expander is designed according to computation. Underwater experiments show that this beam expander plays an effective role on illuminating in underwater high-repetition-rate range-rated Imaging system.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.