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Proceedings Paper

Despeckling SAR images using adaptive bandelet transform and Bayesian maximum a posteriori estimation
Author(s): Qingwei Gao; Yanan Xu; Yixiang Lu; Weinian Zhong
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Paper Abstract

Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. This paper presents a despeckling method for SAR images based on adaptive bandelet transform. Bayesian maximum a posteriori (MAP) estimation is applied to adaptive bandelet transform coefficients to achieve more satisfying results. The performances of adaptive bandelet transform and wavelet thresholding for despeckling SAR images are compared through an experiment. Experiment results clearly demonstrated the capability of the proposed scheme in SAR image speckle reduction especially for SAR images possessing detailed textures.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748906 (10 July 2009); doi: 10.1117/12.836817
Show Author Affiliations
Qingwei Gao, Anhui Univ. (China)
Yanan Xu, Anhui Univ. (China)
Yixiang Lu, Anhui Univ. (China)
Weinian Zhong, Anhui Univ. (China)

Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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