基于小波变换空间变迹的SAR图像旁瓣抑制方法
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浙江工业大学计算机科学与技术学院, 杭州, 310023

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国家自然科学基金 61302129国家自然科学基金(61302129)资助项目。


SAR Image Sidelobe Suppression Method Based on Wavelet Transform and Spatial Variant Apodization
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College of Computer Science and Technology,Zhejiang University of Technology, Hangzhou, 310023, China

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    摘要:

    为了进一步提高旁瓣抑制的效果,本文提出一种基于小波变换空间变迹的合成孔径雷达图像旁瓣抑制方法。该方法对成像后的复数图像分别进行实部和虚部的二维小波分解,对分解后得到的各子通道进行空间变迹旁瓣抑制,将旁瓣抑制后的各子通道数据通过小波重构得到实部数据和虚部数据,再对重构后的实部数据和虚部数据分别进行空间变迹旁瓣抑制,最终生成基于小波变换空间变迹旁瓣抑制后的复数图像。实验结果表明,该方法能够在基本不损失图像分辨率的基础上,有效抑制图像的旁瓣电平。

    Abstract:

    In order to further improve the effect of sidelobe suppression, a synthetic aperture radar image sidelobe suppression method based on wavelet transform and spatial variant apodization is proposed in this paper. 2D wavelet decomposition is carried out for the real and imaginary parts of the complex image after imaging respectively, and the sub-channels obtained after the decomposition are then implemented by the spatial variant apodization sidelobe suppression algorithm. The real part data and imaginary part data are reconstructed by using the sub-channel data after the sidelobe suppression. Then, the reconstructed real part data and the imaginary part data are subjected again to spatial variant apodization sidelobe suppression respectively. Finally, the complex image after wavelet transform spatial variant apodization sidelobe suppression is obtained. Experimental results show that the proposed method can effectively suppress the sidelobe of the image without losing the image resolution. Therefore, this proposed method is an effective sidelobe suppression method for synthetic aperture radar images.

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宦若虹,陶一凡,陈月,杨鹏,鲍晟霖.基于小波变换空间变迹的SAR图像旁瓣抑制方法[J].数据采集与处理,2019,34(3):558-565

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  • 收稿日期:2018-01-03
  • 最后修改日期:2019-04-09
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  • 在线发布日期: 2019-06-12