Research Of Moving Target Recognition Technology Based On Optical Correlation

Joint transform correlator, applying the optical correlation theory, was widely used in the domian of pattern recognition for its merits of parallel, large capacity and high-speed. According to the correlation peaks between the target and the reference template the orientation information of the target can be determined. Applying this opto-electronic hybrid system with computer program technology has realized many stationary targets recognition, such as infrared target, low light level target, target in clutter scene, small target and so on.But in the course of the moving target recognition, there are many distortion problems betweem the target and the template because of the moving, and the external factors, such as the cluttered background, weather conditions and the low contrast environment, can also influence the joint transform correlator, so that there are no correlation peaks or low brightness of correlation peaks emerging, which seriously affects the optical correlation recognition of the moving target.To solve the size, rotation and shape mismatch problem between the target and the template, temporal template replacement method is proposed, which can take the temporal state of the target former frame as the template for the next frame to reach the purpose of real time template update.To enhance the brightness of the correlation peaks and improve the recognition efficiency of correlator, the wavelet, multi-wavelet and wavelet lifting algorithm are introduced in object plane processing technology of the dynamic sequences. The edge extracton based on wavelet combined with morphological dilation and wavelet multi-scale edge fusion algorithm are raised; Appling the multiple multi-resolution analysis property of the multi-wavelet, the edge extraction and image enhancement technology based on multi-wavelet are proposed; in addition, according to the wavelet lifting algorithm, the edge extraction method based on lifting wavelet is presented.Applying these object plane processing algorithms with temporal template method to optical correlation recognition of the moving target, the experiments show that edge extraction based on wavelet, wavelet multi-scale edge fusion and image enhancement based on multi-wavelet algorithm all can improve the the low contrast moving target recognition ratio of the correlator. Edge extraction based on multi-wavelet transform can achieve the correlation recognition of the moving low light level target and small moving target in the cluttered background. And the edge extraction based on wavelet lifting method can realize the moving target recognition in cluttered background, which can also improve the calculation speed and greatly reduce the amount of the computation. The large number of experiment results show that applying this algorithm can implement the optical correlation recognition and detection technology of the moving target successfully.