@article{(Open Science Index):https://publications.waset.org/pdf/8895, title = {An Efficient Classification Method for Inverse Synthetic Aperture Radar Images}, author = {Sang-Hong Park}, country = {}, institution = {}, abstract = {This paper proposes an efficient method to classify inverse synthetic aperture (ISAR) images. Because ISAR images can be translated and rotated in the 2-dimensional image place, invariance to the two factors is indispensable for successful classification. The proposed method achieves invariance to translation and rotation of ISAR images using a combination of two-dimensional Fourier transform, polar mapping and correlation-based alignment of the image. Classification is conducted using a simple matching score classifier. In simulations using the real ISAR images of five scaled models measured in a compact range, the proposed method yields classification ratios higher than 97 %.}, journal = {International Journal of Electronics and Communication Engineering}, volume = {7}, number = {2}, year = {2013}, pages = {132 - 136}, ee = {https://publications.waset.org/pdf/8895}, url = {https://publications.waset.org/vol/74}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 74, 2013}, }