Share Email Print

Proceedings Paper

Feature enhancement of SAR imagery using Wiener filtering in multi-wavelet domain
Author(s): Xinzheng Zhang; Peikang Huang; Ping Zhou
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67871L (15 November 2007); doi: 10.1117/12.749966
Show Author Affiliations
Xinzheng Zhang, Beijing Institute of Environmental Features (China)
Peikang Huang, China Aerospace Science and Industry Corp. (China)
Ping Zhou, Beijing Institute of Environmental Features (China)

Published in SPIE Proceedings Vol. 6787:
MIPPR 2007: Multispectral Image Processing
Henri Maître; Hong Sun; Jianguo Liu; Enmin Song, Editor(s)

© SPIE. Terms of Use
Back to Top