SAR speckle reduction based on undecimated tree-structured wavelet transform

Authors:
Ying Li;Jianglin Yang;Li Sun;Yanning Zhang
Affiliations:
School of Computer Science, Northwest Polytechnical University, Xi'an, China;School of Computer Science, Northwest Polytechnical University, Xi'an, China;School of Computer Science, Northwest Polytechnical University, Xi'an, China;School of Computer Science, Northwest Polytechnical University, Xi'an, China
Venue:
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Year:
2006

Citing 4
Cited 0

Undecimated wavelet based speckle reduction for SAR images

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Abstract

This paper proposes a novel filtering method for removing such speckle noise from Synthetic Aperture Radar image that combines the Stationary Tree-structured Wavelet Transform (STWT) with a Bayesian wavelet estimator. Experimental results on several test images by using the proposed method show that, the proposed method yields significantly superior image quality and better Peak Signal to Noise Ratio (PSNR).