Feature enhancement of SAR imagery using Wiener filtering in multi-wavelet domain

Xinzheng Zhang; Peikang Huang; Ping Zhou

doi:10.1117/12.749966

15 November 2007 Feature enhancement of SAR imagery using Wiener filtering in multi-wavelet domain

Xinzheng Zhang, Peikang Huang, Ping Zhou

Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67871L (2007) https://doi.org/10.1117/12.749966
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

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.

Citation Download Citation

Xinzheng Zhang, Peikang Huang, and Ping Zhou "Feature enhancement of SAR imagery using Wiener filtering in multi-wavelet domain", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871L (15 November 2007); https://doi.org/10.1117/12.749966

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