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.

fYear

1990

fDate

21-25 May 1990

Firstpage

303

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1990. NAECON 1990., Proceedings of the IEEE 1990 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1990.112786

Filename

112786