The use of space-based surveillance systems to implement long-distance, high-precision detection and imaging of space targets is of great significance for mastering space activities. The basic principles of laser reflection tomography are introduced. For the spin-stabilized satellite target, the parameter index of the space target laser active detection system is designed, and the orbit of the imaging satellite and the target satellite are designed. The satellite is obtained by constructing a three-dimensional model of the satellite. Target multi-angle laser echo, and then use different image reconstruction algorithms to achieve satellite target laser reflection tomography, which can provide a reference for the design of laser active imaging system.
The laser one-dimensional range profile of a target can be approximated as the convolution of the transmitted laser pulse and the range-resolved laser radar cross section. Therefore, the widening effect caused by the laser pulse is eliminated as much as possible by echo deconvolution, and the resolution of the target laser one-dimensional range profile detection can be improved to some extent. To this end, the Richardson-lucy image iterative deconvolution algorithm is introduced into the laser echo deconvolution. Although the algorithm can eliminate the influence of Poisson noise effectively,In order to further improve the deconvolution effect, wavelet noise reduction is first performed to improve the signal-to-noise ratio of the measured data before using the algorithm. The effectiveness of the proposed algorithm is verified by simulation experiments.
Based on the laser range profiles (LRPs), the information of target geometry and movement coefficients can be detected and deduced. In this paper, the theoretical expression is given as well as the convolution model of the target’s LRPs. Primarily, a simulation method for obtaining complex target’s LRPs is introduced and illustrated, which is based on the 3-D modeling and OpenGL. The projection and shading process and the procedure of acquiring the normal of model facet are explained. By using this method the LRPs of complex target in different conditions are obtained conveniently and quickly, then the influences of target’s attitudes, shape, scattering characteristics of surface and emitted pulse width on target’s LRPs are simulated and analyzed. This work is useful to produce abundant LRPs data for target recognition, classification and reflection tomography imaging.
In this paper, laser radar range profile theory and simulation method are investigated. Laser radar range profile theoretical formula is given based on the theory of Gaussian laser beam, BRDF, and target shape. On the purpose of simulating the range profile of certain targets, the geometrical 3D models of some simple and complex objects are constructed respectively, and then the viewpoint coordinate and target coordinate are established. The location information of vertexes and facets can be obtained and exported to utilize. In next step their laser radar range profiles in many postures are acquired and compared sequentially. The influences of Gaussian pulse width, target shape, size and transmit-receive angles on the simulation results are discussed. In this way this paper can provide theoretical and simulation methods and bases for extracting target features and recognizing targets using laser radar range profiles.
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