Noisy image moving point target recognition by using neural network

In this paper, the problem of noisy image moving point target recognition is discussed. A recognition method is proposed. This method is composed of the three processes in cascade which are: process A, preprocessing of the noisy image moving point target sequence; process B, choice and extraction of features; and process C, classification of the extracted features by using a second-order neural network, respectively. A simulation experiment is carried out for three kinds of image moving point targets in which the signal to noise level ratio (SNR) is specified. The experimental results indicate that the recognition system with the proposed method has both high and reliable identification rate. >