Despeckling SAR Images Using Adaptive Bandelet Transform and Bayesian Maximum a Posteriori Estimation

被引：1
|
作者：
Gao, Qingwei [1 ]
Xu, Yanan [1 ]
Lu, Yixiang [1 ]
Zhong, Weinian [1 ]
机构：
[1] Anhui Univ, Key Lab Optioelect Informat Acquisit & Manipulat, Minist Educ, Hefei 230039, Peoples R China
来源：
PIAGENG 2009: IMAGE PROCESSING AND PHOTONICS FOR AGRICULTURAL ENGINEERING | 2009年 / 7489卷
关键词：
SAR images; Despeckling; Adaptive bandelet transform; Bayesian maximum a posteriori estimation;
D O I：
10.1117/12.836817
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
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.
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页数：6
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