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2012 (Vol. 4, Issue: 24)
Article Information:

Automatic Target Classification in SAR Images by Multilayer Back Propagation Neural Network

P. Vasuki, S. Mohamed and Mansoor Roomi
Corresponding Author:  P. Vasuki 

Key words:  Back-propagation algorithm, feature extraction, MSTAR database, SAR images, segmentation, ,
Vol. 4 , (24): 5510-5514
Submitted Accepted Published
March 23, 2012 April 30, 2012 December 15, 2012

In this study, a novel descriptive feature extraction method of Discrete Fourier transform and neural network classifier for classification of Synthetic Aperture Radar (SAR) images is proposed. The classification process has the following stages (1) Image Segmentation using statistical Region Merging (SRM) (2) Polar transform and Feature extraction using Discrete Fourier Transform (3) Neural Network classification using back propagation. The algorithm has been applied for the three classes of military manmade objects (metal objects) in SAR imagery is using MSTAR public release database. Experimental results are presente.
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  Cite this Reference:
P. Vasuki, S. Mohamed and Mansoor Roomi, 2012. Automatic Target Classification in SAR Images by Multilayer Back Propagation Neural Network.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5510-5514.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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