基于离散小波变换的SAR图像去噪

S. Roomi, D. Kalaiyarasi, N.Kasturi Rangan
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引用次数: 3

摘要

由于散射现象的相干性,合成孔径雷达(SAR)图像固有地受到乘性散斑噪声的影响。为了在去斑时有效地保留SAR图像的鲜明特征和细节,提出了一种新的小波域去斑方法。在该方法中,采用“符号”小波进行去斑处理。该算法采用改进的阈值法和多项式软阈值法对图像中的非边缘成分进行阈值处理。利用Matlab 7.0对所提出的工作进行了仿真,实验结果表明,与其他各种去斑技术相比,新方法具有更好的效果。
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Discrete wavelet transform based despeckling for SAR images
Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of scattering phenomena. To preserve the sharp features and details of the SAR image effectively when despeckling, a new method of speckle reduction in wavelet domain has been presented. In this proposed method ‘symlet’ wavelet is used for despeckling process. This proposed algorithm uses new improved thresholding and polynomial soft thresholding function to threshold the non-edge component present in the corrupted image. The proposed work has been simulated using Matlab 7.0 and the experimental results demonstrate that the new method shows better result compared with various other despeckling techniques.
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