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Efficient Classification of ISAR Images Based on Polar Mapping Technique  

Kim Kyung-Tae (Department of Electrical Engineering and Computer Science, Yeungnam University)
Park Jong-Il (Department of Electrical Engineering and Computer Science, Yeungnam University)
Shin Young-Nam (Department of Electrical Engineering and Computer Science, Yeungnam University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.16, no.3, 2005 , pp. 335-343 More about this Journal
Abstract
In this paper, we propose a method to classify inverse synthetic aperture radar(ISAR) image from different target. The approach can provide efficient features for classification by the combined use of a polar mapping procedure and a well-designed classifier The resulting feature vectors are able to meet requirements that efficient features should have : invariance with respect to rotation and scale, small dimensionality, as well as highly discriminative information. Typical experimental examples of the proposed method are provided and discussed.
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