Clutter reduction for synthetic aperture radar imagery based on adaptive wavelet packet transform Article

Deng, H, Ling, H. (2000). Clutter reduction for synthetic aperture radar imagery based on adaptive wavelet packet transform . Journal of Electromagnetic Waves and Applications, 14(6), 855-856. 10.1163/156939300X01625

cited authors

  • Deng, H; Ling, H

authors

abstract

  • An adaptive wavelet packet transform (AWPT) algorithm is proposed to process synthetic aperture radar (SAR) imagery and remove background clutters from target images. Since target features are more efficiently represented using the wavelet packet bases, higher signal-to-clutter ratios (SCR) can be achieved in the wavelet transform domain. Consequently, clutters can be more effectively separated from the desired target features in the transform domain than in the original SAR domain. The processed results based on the MSTAR data set demonstrate the effectiveness of this algorithm for SAR clutter reduction.

publication date

  • January 1, 2000

published in

Digital Object Identifier (DOI)

start page

  • 855

end page

  • 856

volume

  • 14

issue

  • 6