多基地SAR线目标参数反演与图像重建

Inversion of Linear Target Parameters and Image Reconstruction for Multistatic-SAR

  • 摘要: 传统单基地SAR成像系统基于点目标模型且观测视角单一,在对复杂场景成像时存在线目标边缘不连续,特征丢失等现象。针对这一问题,本文提出了一种多基地SAR构型下线目标参数反演与图像重建方法。该方法基于几何模型与散射理论推导了线目标的合成孔径雷达回波的参数化表达式,分析了在不同观测角度下对线目标的SAR成像结果从直线段到两端点反复变化的特点,并从空间谱采样的角度解释了这一现象,在此基础上根据线目标空间谱的特征,提出了一种基于最小二乘估计的多基地构型下线目标参数反演与图像重建方法。仿真实验结果表明,在相同的峰值信噪比条件下,本文提出的多基地SAR线目标参数反演与图像重建方法,相对于单一观测角度的单基地SAR具有更优的反演性能,在SAR图像的峰值信噪比为28dB时,线目标朝向与长度的反演误差在10%以内的概率达到了84%,可以基于反演结果实现图像的重建。

     

    Abstract: Because of the single observation angle, the traditional monostatic SAR imaging system has discontinuous edges when imaging line targets in complex scenes. To solve this problem, a method of line target parameter inversion and image reconstruction for Multistatic-SAR is proposed in this paper. This method deduces the expression of parametric scattering model of line target in SAR image based on geometric model theoretically. By analyzing the characteristics of line target changing repeatedly from line segment to two endpoints in different observation angles, this phenomenon is explained from the angle of spatial spectrum sampling. According to the characteristics of line target spatial spectrum, a method of parameter inversion and image reconstruction based on least squares estimation is designed. The simulation results show that the proposed method of parameter inversion and image reconstruction for multi-static SAR line targets has higher accuracy than single-angle monostatic SAR under different PSNR. When the PSNR of the SAR image is 28 dB, the accuracy reaches 84%. Based on the inversion results, image reconstruction can be realized.

     

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