Research On Techniques Of Weak Moving Target Detection In The Strapdown Optic Seeker Image

The weak moving target detection, recognition and tracking algorithms under the condition of low signal-to-noise-ratio (SNR) are key technologies to extend the capture distance of guidance system and enhance the capacity of defense system. The dissertation studied a weak moving target detection algorithm based on tingling of the detector, the detection algorithms based on projection and the Hough transformation based on the maximum summation filter are presented, the software simulation and hardware design of the Hough transformation based on the maximum summation filter are given.In order to enhance the SNR, the Winner filter and the maximum summation filter were given. After analyzing the characteristic of the target image, the dissertation introduced several primary weak moving target detection algorithms, the algorithms based on direction projection and Hough algorithm were selected. Then the computer simulations of the Hough transformation based on the maximum summation filter were completed. Theoretical analysis and simulations indicate that the algorithm has good performance of detecting the weak line. After the segmentations of the software and hardware of the Hough transformation based on the maximum summation filter, the design of the software and hardware modules were completed. Lastly, a simple summarize of the study was made.