Using Gabor Filter for SAR Automatic Target Recognition
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
View: 236
This Paper With 5 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
RADARC08_007
تاریخ نمایه سازی: 7 دی 1400
Abstract:
Synthetic aperture radar (SAR) automatic target recognition (ATR) technology is one of the most important research in the field of image cognitive learning. This paper proposes a synthetic aperture radar automatic target recognition method via support vector machine (SVM) classifier by using features that are extracted from Gabor filters. We choose ten types of targets from the Moving and Stationary Target Acquisition and Recognition (MSTAR) dataset. The experimental results show that the recognition accuracy of our method is significantly higher than other similar methods. So it will be proved that our method can effectively improve the SAR ATR accuracy.
Keywords:
Authors
Mohsen Darvishnehzad
Faculty of Electrical Engineering Khajeh Nasir Toosi University of Technology Tehran,Iran
Mohammad Ali Sebt
Faculty of Electrical Engineering Khajeh Nasir Toosi University of Technology Tehran,Iran