@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},
	}