CAJ | 학술논문

针对SAR图像噪声影响分辨率的问题,提出一种新的复合SAR图像增强和去噪方法.该方法首先利用信号的小波相邻尺度相关性将信号和噪声分离,然后根据SAR图像近似瑞利分布的特点把SAR图像转换为近高斯分布,再分别利用复数扩散震动滤波器对SAR图像信号部分进行增强,用各项异性扩散方程对含噪部分进行去噪,最后用小波平稳变换对图像进行重构.实验结果表明,与传统的SAR图像去噪算法相比,新算法在边缘增强和噪声去除能力方面均有显著提高.
침대SAR도상조성영향분변솔적문제,제출일충신적복합SAR도상증강화거조방법.해방법수선이용신호적소파상린척도상관성장신호화조성분리,연후근거SAR도상근사서리분포적특점파SAR도상전환위근고사분포,재분별이용복수확산진동려파기대SAR도상신호부분진행증강,용각항이성확산방정대함조부분진행거조,최후용소파평은변환대도상진행중구.실험결과표명,여전통적SAR도상거조산법상비,신산법재변연증강화조성거제능력방면균유현저제고.
A composite adaptive enhancing and denoising algorithm for SAR images is presented.The SAR images are differentiated from speckle noise via scale space correlation.Because the SAR image can be described by approximate rayleigh's distribution,the complex diffusion coupled shock filter is used to enhance the signal differentiated from SAR image,and the anisotropic diffusion equation is used to denoise the speckle in the SAR image.Finally,the SAR image is reconstructed by stationary wavelet transform.Compared with traditional speckle removal algorithms,this new algorithm has better performance in terms of edge preserving and denoising.