Title :
A method for moving target recognition based on noisy image sequence
Author :
Liang, Ming ; Sun, Zhongyuan
Author_Institution :
Dept. of Electr. Eng., Changsha Inst. of Technol.
Abstract :
The problem of moving point target recognition based on noisy image sequence is discussed. A novel method for moving point target recognition is proposed. This method consists of a series of three major processes: preprocessing of the noisy image sequence; extracting the velocity of the moving point target; and neural classification. A simulation experiment was carried out for three kinds of moving point targets for which the signal-to-noise ratio (SNR) is specified. The experimental results indicate that the proposed method is feasible. The application of the neural network to classification greatly improves the classification results
Keywords :
computerised pattern recognition; computerised picture processing; digital simulation; military computing; neural nets; classification; computerised picture processing; military systems; moving target recognition; neural classification; neural network; noisy image sequence; preprocessing; signal-to-noise ratio; simulation experiment; Equations; Gaussian noise; Image recognition; Image sequences; Paper technology; Signal processing; Sun; Target recognition; Testing; Utility programs;
Conference_Titel :
Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National
Conference_Location :
Dayton, OH
DOI :
10.1109/NAECON.1990.112786
