An Efficient Classification Method for Inverse Synthetic Aperture Radar Images
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 %.
[1] C. C. Chen and H. C. Andrews, "Target-motion-induced radar imaging,"
IEEE Trans. Aero. and Electr. Syst., vol. 16, no. 1, pp. 2-14, Jan. 1980.
[2] D. L. Mensa, High Resolution Radar Cross Section Imaging, Artech
House, Norwood, 1991.
[3] A. Zyweck and R. E. Bogner, "High-resolution radar imagery of the
Mirage III aircraft," IEEE Trans. Antennas Propag., vol. 42, no. 9, pp.
1356-1360, 1994.
[4] S. H. Park, H. T. Kim, K. T. Kim and J. I. Park, "An efficient range
alignment algorithm method for long-range ISAR imaging," 2009 Int.
Radar Conf., pp. 1-5, Oct. 2009.
[5] L. Xi and L. Guosui, J. Ni, "Autofocusing of ISAR images based on
entropy minimization," IEEE Trans. Aero. and Electr. Syst., vol. 16, no. 1,
pp. 2-14, Jan. 1980.
[6] S. H. Park, J. H. Jung, H. T. Kim and K. T. Kim, "Construction of 2D
training database based on high frequency RCS prediction methods,"
Microw. Opt. Techn. Let., vol. 53, no. 1, pp. 223-229, Jan. 2011.
[7] S. H. Park, K. T. Kim and H.-T. Kim, "Cross-range scaling algorithm for
ISAR images using 2D Fourier transform and polar mapping", IEEE
Trans. on Geosci. Remote Sens., vol. 29, issue 2, pp. 868 - 877, Feb. 2011
[8] K. T. Kim, D. K. Seo and H. T. Kim, "Efficient classification of ISAR
images," IEEE Trans. Antennas Propag., vol. 53, no. 5, pp. 1356-1360,
May 1994.
[9] S. H. Park, K. T. Kim and H. T. Kim, "Efficient classification of ISAR
images using 2D Fourier transform and polar-mapping," Korea Inst. Mil.
Sci. Tech. 2012 Annual Conf., pp. 635-638, Jun. 2010.
[1] C. C. Chen and H. C. Andrews, "Target-motion-induced radar imaging,"
IEEE Trans. Aero. and Electr. Syst., vol. 16, no. 1, pp. 2-14, Jan. 1980.
[2] D. L. Mensa, High Resolution Radar Cross Section Imaging, Artech
House, Norwood, 1991.
[3] A. Zyweck and R. E. Bogner, "High-resolution radar imagery of the
Mirage III aircraft," IEEE Trans. Antennas Propag., vol. 42, no. 9, pp.
1356-1360, 1994.
[4] S. H. Park, H. T. Kim, K. T. Kim and J. I. Park, "An efficient range
alignment algorithm method for long-range ISAR imaging," 2009 Int.
Radar Conf., pp. 1-5, Oct. 2009.
[5] L. Xi and L. Guosui, J. Ni, "Autofocusing of ISAR images based on
entropy minimization," IEEE Trans. Aero. and Electr. Syst., vol. 16, no. 1,
pp. 2-14, Jan. 1980.
[6] S. H. Park, J. H. Jung, H. T. Kim and K. T. Kim, "Construction of 2D
training database based on high frequency RCS prediction methods,"
Microw. Opt. Techn. Let., vol. 53, no. 1, pp. 223-229, Jan. 2011.
[7] S. H. Park, K. T. Kim and H.-T. Kim, "Cross-range scaling algorithm for
ISAR images using 2D Fourier transform and polar mapping", IEEE
Trans. on Geosci. Remote Sens., vol. 29, issue 2, pp. 868 - 877, Feb. 2011
[8] K. T. Kim, D. K. Seo and H. T. Kim, "Efficient classification of ISAR
images," IEEE Trans. Antennas Propag., vol. 53, no. 5, pp. 1356-1360,
May 1994.
[9] S. H. Park, K. T. Kim and H. T. Kim, "Efficient classification of ISAR
images using 2D Fourier transform and polar-mapping," Korea Inst. Mil.
Sci. Tech. 2012 Annual Conf., pp. 635-638, Jun. 2010.
@article{"International Journal of Electrical, Electronic and Communication Sciences:57967", author = "Sang-Hong Park", title = "An Efficient Classification Method for Inverse Synthetic Aperture Radar Images", 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 %.", keywords = "Radar, ISAR, radar target classification, radar
imaging.", volume = "7", number = "2", pages = "140-5", }