Title :
Adaptive despeckling SAR images based on scale space correlation
Author :
Lu, Ren ; Mengdao, Xing ; Zheng, Bao ; Haojun, Chen
Author_Institution :
Key Lab for Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
In this paper, a new adaptive filtering algorithm is proposed to remove speckle in SAR images. This method differentiates the detail edge information from the noisy images based on scale space correlation. The Wiener filter is used to deal with the edge information of points and the Bayesian soft threshold is applied to the noisy points in homogeneous areas to reduce speckle. After processed with this algorithm, SAR images can not only achieve a satisfactory despeckling effect but also show good performance in preserving details and texture information.
Keywords :
Bayes methods; Wiener filters; adaptive filters; correlation methods; edge detection; image denoising; radar imaging; speckle; synthetic aperture radar; 2D stationary wavelet transform; Bayesian soft threshold; SAR image adaptive despeckling; Wiener filter; adaptive filtering; detail edge information differentiation; detail preservation; logarithmic transform; scale space correlation; speckle noise removal; texture preservation; Adaptive filters; Bayesian methods; Degradation; Filtering algorithms; Signal processing algorithms; Signal resolution; Spatial resolution; Speckle; Wavelet domain; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415579