The Algorithm Research Of Auto-recognition Of Targets Based On DAM6416P

In the modern war, precision air striking and the integrated air-to-ground combat have been the most important combat form, so it is getting more and more important to recognize the sky goal. Directed against the aircraft, this paper has discussed the objective research aircraft based on DSP image processing platform. Following the completion of several major aspects:Firstly, research actuality and development direction of this task have been analysed. The technical development about DSP, the procedure of structure design about DAM6416P and the problem of data transmission have been introduced.Secondly, this paper have studied segmentation technique of plane target, including the two dimentional minimum mix entropy based on Evolutionary Programming and neural network methods. Analysed the advantages and disadvantages of moving objects detection algorithm. Then the algorithm based on mixture gauss model have been studied. The test shows that these methods can distinguish the object and background perfectly to make preparation for the following recognition.Thirdly, the feature extraction algorithms have been studied. The improved Hu invariable moment, the relative invariable moment and the affine invariable moment have been discussed in this paper. Then using feature extraction algorithm to targets recognition, analyse and compare the results.Fourthly, target recognition has been studied in which target samples are first input to interpolator to be trained, then good recognition results have been gotten by using testing samples. Self-organizing feature map neural network and support vector machine methods have been provided. In the self-organizing feature map neural network, mainly the improving of model structures has been introduced. In the support vector machine, mainly the improving of sequential minimal optimization method and the initial algorithm of parameters have been introduced.Finally, primary content of this task has been simply introduced and research aspect has been expounded.