| Template Matching-Based Target Recognition Algorithm Development and Verification using SAR Images |
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Ho Lim, Daeyoung Chae, Ji Hee Yoo, Kyung-Il Kwon |
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The 3rd Research and Development Institute, Agency for Defense Development |
| SAR 영상을 이용한 템플릿 매칭 기반 자동식별 알고리즘 구현 및 성능시험 |
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임호, 채대영, 유지희, 권경일 |
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국방과학연구소 제3기술연구본부 |
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| Abstract |
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In this paper, we have developed a target recognition algorithm based on a template matching technique using Synthetic Aperture Radar (SAR) images. For efficient computations, Radon transform-based azimuth estimation algorithm was used with the template matching. MSTAR data set was divided into two groups according to the depression angles, which were a train set and a test set. Template data were generated by rotating and cropping chips which were from MSTAR train set using the azimuth estimation algorithm. Then the template matching process between test data and template data was performed under various conditions. Performance variation according to contrast enhancement preprocessing which is scarce in open literature was also presented. The analysis results show that the target recognition algorithm could be useful for the automatic target recognition using SAR images. |
| Key Words:
SAR-ATR, Template Matching, Target Recognition, Azimuth Estimation, MSE |
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