合成孔径雷达目标图像复原方法仿真研究

发布时间：2018-11-28 13:05

【摘要】：对于孔径雷达目标图像的复原,可以有效提升合成孔径雷达对地物目标信息的获取能力。对雷达目标图像进行复原,需要通过控制目标图像复原参数,得到精确的合成孔径雷达目标图像模糊核,完成对目标图像的复原。传统方法先利用图像显著边缘扩散函数修正图像位置,抑制图像波动,但无法得到目标图像的模糊核,导致复原效果不理想。提出基于半二次规整化理论的合成孔径雷达目标图像复原方法。利用双边滤波器对合成孔径雷达目标图像进行去噪,对去噪滤波处理后的图像高强度反差边缘,当前尺寸的模糊核作为为初始值,依据尺度大小控制目标图像复原参数,得到精确的合成孔径雷达目标图像模糊核,对其进行模糊核复原迭代求解,由此完成对合成孔径雷达目标图像复原。实验结果表明,所提方法能够有效降低噪声水平,在合成孔径雷达目标图像复原效率方面有很大提高。
[Abstract]:For the restoration of aperture radar target image, it can effectively improve the ability of SAR to obtain the information of ground object. The restoration of radar target image needs to obtain accurate SAR target image blur kernel by controlling the target image restoration parameters, so as to complete the target image restoration. The traditional method firstly uses the significant edge diffusion function to correct the image position to suppress the image fluctuation, but it can not get the target image blur kernel, so the restoration effect is not satisfactory. A method of SAR target image restoration based on semi-quadratic regularization theory is proposed. The target image of synthetic Aperture Radar (SAR) is de-noised by using a two-sided filter. The contrast edge of the image with high intensity after denoising is processed. The fuzzy kernel of the current size is taken as the initial value, and the restoration parameters of the target image are controlled according to the size of the target image. An accurate SAR target image blur kernel is obtained and solved iteratively by fuzzy kernel restoration, and then the SAR target image restoration is completed. The experimental results show that the proposed method can effectively reduce the noise level and greatly improve the efficiency of SAR target image restoration.
【作者单位】：黄河科技学院信息工程学院;
【分类号】：TN957.52

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