Recognition of targets in high-resolution synthetic aperture radar(SAR) imagery is a challenging problem in practice.
Features of military targets in SAR imagery play important roles in SAR ATR. Robust feature extraction of these targets
is difficult due to extended operating conditions such as obscuration, articulation, varied configurations and a host of
camouflage. In this paper, a new method based on wiener filtering reconstruction in multi-wavelet domain to enhance
target region feature is presented. It uses a wavelet thresholding estimate as a mean to design a wavelet domain Wiener
filter employing two different bases of wavelet, one for the thresholding step and another for the filter application. The
experimental results demonstrate that the method can improve the target regional feature, can augment statistical
separability between targets and clutter, and benefits to speckle suppression using publicly released SAR data from
DARPA's MSTAR program.