Despeckling SAR images using adaptive bandelet transform and Bayesian maximum a posteriori estimation

Qingwei Gao; Yanan Xu; Yixiang Lu; Weinian Zhong

doi:10.1117/12.836817

10 July 2009 Despeckling SAR images using adaptive bandelet transform and Bayesian maximum a posteriori estimation

Qingwei Gao, Yanan Xu, Yixiang Lu, Weinian Zhong

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 748906 (2009) https://doi.org/10.1117/12.836817
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Qingwei Gao, Yanan Xu, Yixiang Lu, and Weinian Zhong "Despeckling SAR images using adaptive bandelet transform and Bayesian maximum a posteriori estimation", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748906 (10 July 2009); https://doi.org/10.1117/12.836817

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