|
Abstract
|
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
Submitted: March 23, 2012
Accepted: April 30, 2012
Published: December 15, 2012 |
Abstract:
|
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.
Key words: Back-propagation algorithm, feature extraction, MSTAR database, SAR images, segmentation, ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
P. Vasuki, S. Mohamed and Mansoor Roomi, . Automatic Target Classification in SAR Images by Multilayer Back Propagation Neural Network. Research Journal of Applied Sciences, Engineering and Technology, (24): 5510-5514.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
