DocumentCode :
2884932
Title :
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
Link To Document :
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