Measuring Dynamic Speckle From Rotating Rough Target And Detecting Micro-motion Characteristic

Because of the advantage, such as noncontact and lossless and real-time and so on, laser speckle measurement has been the research and application interest. The message of the scatter in the speckle is important to detect and recognize and analysis the micro-motion of the object.In the paper, with the theory of the laser scattering from rough objects, the statistical properties of the scattered light with backward or bi-static have been studied, and spatial statistical properties of the laser speckle which is applied to precession of the object. The statistical properties of dynamic speckle influence factors which include materials, surface roughness, speed, line-of-sight angle and precession angle has been studied.The main achievements are as followings:1.The scattering theory of rough surface, definition and testing technology of the roughness has has been studied.The rotation of the objects with rotational symetry is obtained to show that the Doppler shift is proportional to the rotating velocity and the situation of the surface element illuminated and the sine of the sight-in-line angle, inversely proportional to the incident wavelength, however, independent to the roughness of the objects.2.Based on the theory of surface scattering on the observe plane in the far field, The dynamic speckle statistical properties function of rotation target with the backscatter and bi-static scattering is deduced.3.The experiment plat form use to measure multi-pose rotating target has been built with the time-sequential dynamical speckle images of rotating rough targets methods. Five kinds of size, four kinds of surace roughness and three kinds material of cylinder and cone target has been designed and the surface characteristic of this target has been test.The influence factors in the process of dynamic speckle measurement and the speckle image preprocessing techniques has been studied.4.The curve of normalized time correlation function can be achieved by adopting multi-map time correlation function algorithm. The normalized time correlation function curves have been obtained, which is closely dependent on the materials and the size and rotation speed as well as line-of-sight angle.5.The dynamic speckle statistical properties function of precession target is deduced. The normalized time correlation function curves have been obtained, which is closely dependent on the materials and the size and precession speed as well as precession angle.6.With the particle group algorithm and the theoretical derivation on the dynamic speckles, the experimental results for the time correlation length of the speckle have been applied to reverse the sight-in-line angle and the rotating velocity as well as precession angle to detect the micro-motion of the object. The result providing theoretical and experiment bases for recognition of micro-motion characteristics...