Terminal Guidance of Target Recognition and Tracking for the Complex Environment
|School||Harbin Institute of Technology|
|Keywords||Automatic target recognition Complicated background Cluttersuppression Image complexity Kalman filter|
As a core technology of precision guidance technology, automatic targetrecognition has an essential role in modern warfare. In this paper, the high-precisiontarget recognition and intelligent tracking processing technology in complexenvironment of terminal guidance are studied. The main research work are asfollows.Firstly, an improved self-adaptive Butterworth high-pass filter is proposed. Theclutter in the infrared complex background is inhibited through this new method. Inthis method, a new description called Image complexity is proposed on the basis ofanalyzing the traditional “Background complexity” description. The improved self-adaptive Butterworth high-pass filter image preprocess method is established on thebasis of the new description. The Simulation results show that the clutter in theinfrared complex background is inhibited effectively through this new method.Secondly, a moving target identification method based on difference method ofthe three frames is put forward. The method achieves easily and computes at the lowlevel. The method is proper for real-time moving target identification.Finally, Mathematical description of pixel of quasi-three-dimensional motionmodel is proposed through the analysis of perspective projection transformation ofthe space rigid body movement. A quasi three-dimensional homing Kalman filtertracking algorithm is established. The Simulation results of simulation and the realimage sequence show that the homing filter tracking algorithm is robust when thetarget is maneuvering，lost or partly covered.