Noisy image moving point target recognition by using neural network

Author

Min, Liang ; Zhong-Kang, Sun ; Shu-Long, Ji

Author_Institution

Changsha Inst. of Technol., China

fYear

1991

fDate

16-17 Jun 1991

Firstpage

290

Abstract

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

Keywords

computerised pattern recognition; computerised picture processing; neural nets; SNR; feature classification; feature extraction; identification rate; moving point target recognition; neural network; noisy image; preprocessing; second-order network; Feature extraction; Gaussian noise; Image recognition; Image sequences; Neural networks; Neurons; Target recognition; Target tracking; Testing; Transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on

Conference_Location

Shenzhen

Type

conf

DOI

10.1109/CICCAS.1991.184342

Filename

184342