Synthetic radar image recognition is an area of interest for military applications including automatic target recognition, air traffic control, and remote sensing. Here a dynamic range compression two-beam-coupling joint transform correlator for detecting synthetic aperture radar targets is utilized. The joint input image consists of a prepower-law, enhanced scattering center of the input image and a linearly synthesized power-law-enhanced scattering center template. Enhancing the scattering center of both the synthetic template and the input image furnishes the conditions for achieving dynamic range compression correlation in two-beam coupling. Dynamic range compression (a) enhances the signal-to-noise ratio, (b) enhances the high frequencies relative to low frequencies, and (c) converts the noise to high frequency components. This improves the correlation-peak intensity to the mean of the surrounding noise significantly. Dynamic range compression correlation has already been demonstrated to outperform many optimal correlation filters in detecting signals in severe noise environments. The performance is evaluated via established metrics such as peak-to-correlation energy, Horner efficiency, and correlation-peak intensity. The results showed significant improvement as the power increased.
© 2008 Optical Society of America
Fourier Optics and Signal Processing
Original Manuscript: March 3, 2008
Revised Manuscript: April 10, 2008
Manuscript Accepted: April 18, 2008
Published: May 26, 2008
Bahareh Haji-saeed, Charles L. Woods, John Kierstead, and Jed Khoury, "Two-beam-coupling correlator for synthetic aperture radar image recognition with power-law scattering centers preenhancement," Appl. Opt. 47, 3072-3079 (2008)