In order to realize the dynamic imaging simulation for optical sensor in space rendezvous and docking, in this paper, a dynamic imaging modeling and simulation method for optical sensor is presented based on the general idea of surface meshcreating. The simulation models include geometry and optical characteristics models of space object and star background, imaging model of space based optical sensor, and the noise model during the process of imaging are given out. Taking advantage of these models, dynamic imaging simulation of optical sensor is finally accomplished. For two satellite objects, the imaging simulations are realized with this method in different conditions. Results show that the method could accurately and efficiently simulate the images of optical sensor, so this method could be applied in the development of space rendezvous and docking system.

Scattering phase function on horizontally oriented ice particles near the specular reflective direction is analytically modeled using a mixed method combining direct reflection and Fraunhofer diffraction components, where particles are simply treated as circular facets and the effect of fluttering is introduced under the assumption of Gauss distribution. The obtained model expression reveals that the essence of far-field scattering around specular direction is the diffraction pattern modulated by fluttered geometric reflection. Four groups of experiments are designed to validate this model at different wavelengths and incidence angles, and the calculated phase functions present good agreement both in distributions and peak values with that of T-matrix method in conjunction with a Monte Carlo stochastic process. Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/25/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx Proc. of SPIE Vol. 8759 875921-2 Downloaded From: http://proceedings.spiedigitallibrary.org/ on 06/25/2016 Terms of Use: http://spiedigitallibrary.org/ss/TermsOfUse.aspx

A three-dimensional (3D) stochastic cloud generation architecture is developed to simulate radiative scenes for performance evaluation of space-based optical system. The rescale-and-add fractal algorithm is employed to generate internal and external structure data of clouds. The Spherical Harmonic Discrete Ordinate (SHDOM) code is selected to solve the 3D radiative transfer equation numerically. The flowchart of the simulation system is shown. The methods for generating 3D grid data of cloud spatial structure and liquid water content (LWC), as well as the radiative quantities, are presented. Two types of clouds are generated as illustrations. Radiative cloud scenes under different imaging conditions could be conveniently available using this framework. The simulation results demonstrate the effectiveness of the proposed methods and architecture.