Scattering characteristics of space target in the visible spectrum, which can be used in target detection, target identification, and space docking, is calculated in this paper. Algorithm of scattering characteristics of space target is introduced. In the algorithm, space target is divided into thousands of triangle facets. In order to obtain scattering characteristics of the target, calculation of each facet will be needed. For each facet, calculation will be executed in the spectrum of 400-760 nanometers at intervals of 1 nanometer. Thousands of facets and hundreds of bands of each facet will cause huge calculation, thus the calculation will be very time-consuming. Taking into account the high parallelism of the algorithm, Graphic Processing Units (GPUs) are used to accelerate the algorithm. The acceleration reaches 300 times speedup on single Femi-generation NVDIA GTX 590 as compared to the single-thread CPU version of code on Intel(R) Xeon(R) CPU E5-2620. And a speedup of 412x can be reached when a Kepler-generation NVDIA K20c is used.
A backscattering model of average signal power function for laser radar range imagery obtained by a
short pulse laser for a coarse cone is presented in this paper. This model can analyze the laser range
profile and range imaging which relate the average power seen by the receiver with laser pulse, target
shape, optical scattering properties of surface material, incidence angle and other factors. Simulation of
the laser range profile and range imaging of a coarse cone is given. Based on the results of the
simulated model and theoretical analysis, the cone can be identified. The model can be used for
demonstration of 3D laser radar system and can also be used to generate library of model data sets for
automatic target recognition.
An experiment measuring system is introduced. Angle-resolved single-band and multispectral bidirectional
reflectance distribution function measurements are operated in ultraviolet band. Hemisphere spectral reflectivity of some
samples is measured. An optimizing modeling method, particle swarm optimization (PSO) is used to model the laser
BRDF data of typical samples. The results are fitted with the models developed above using optimize algorithm to get
the parameters. Spectral BRDF of samples calculated with the model are in good agreement with the measured data. And
these studies about measuring and optimizing modeling of typical roughness target samples in ultraviolet band have
significant meanings in a lot of related fields.
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