The Algorithm Research Of Auto-recognition Of Plane Targets Based On TDSDM642

Airfight is a complex and dynamic environment. To get initiative droit during airfight, it is necessary to make different sufficient prepration before airfight, for example, information extraction, information propcession, enemy target recognization and tracking technique, and so on. If one has played absolute importance on information to implement monomial clarity of war field and more quickly and truly beat enemy targets. So the technique of information extraction, information propcession, target recognition and tracking has become internationally pop military study task. This paper mostly has discussed recognition technique of plane targets based on the DSP, it mainly includes the following several aspects:Firstly, analyse study actuality and development direction of this task. And this paper briefly introduce technical develop about software and hardware of DSP. mainly discuss design means and data- transmission based on DSP.Secondly, This paper mainly studies segmentation technique of plane target, providing different ways to single color and multi-color image. On single color, it provides image2-D minimum cross entropy based on genetic algorithm. On multi-color, it provides distill color-feature and morphologic segmentation technique.These segmentations all get good effect to make preparation for the following recognition.Thirdly, this paper gives feature extraction means. This paper accomplish Hu feature and singularity feature extraction. About Hu mainly advances compute-speed. Singularity mainly improve on its application way, And bring forward a new count means of num about pels part-area.Fourthly, to recognize target, is to train target character samples imput to interpolator, then test using testing samples to get recognition result. It mainly provides the plane recognition algorithm basded on back propagation and wavelet . Finally, simply introduces this task's primary content, and expounds research- aspect.