SAL imaging method based on Kirchhoff approximation

Chenglin Han, Yanhui Li, Zhensen Wu
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Abstract

Synthenic aperture lidar(SAL) has been widely used for Its high-precision image of remote targets. In order to study the influence of different shapes and different roughness targets on SAL image in Thz band, the SAL images of different with different roughness are numerically simulated in this paper. Rough surface is generated by monte-calro method, and rough object modeling by rough surface. By using Kirchhoff approximation(KA) the back-scattering filed of a rough object is obtained, and the SAL image of a rough object is obtained by the backscattering filed at different azimuth angles and frequencies. In this paper, the SAL image of simple plate target, circular and complex target are simulated, the result of SAL image show that the image can reflect not only the shape of the target but also the roughness of the target, it is specifically analyzed in this paper. During the imaging, different frequency-domain width, frequency-domin sampling accuracy and angular sampling accuracy will affect the SAL image. The wider frequency-domin width, the higher the accuracy, the better the imaging result, but only need to meet the requirements within a reasonable range, this paper analyzed that.
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基于Kirchhoff近似的SAL成像方法
合成孔径激光雷达以其对远程目标的高精度成像得到了广泛的应用。为了研究不同形状和不同粗糙度目标对太赫兹波段sar图像的影响,本文对不同粗糙度下的sar图像进行了数值模拟。粗糙表面采用蒙特卡罗法生成,粗糙物体采用粗糙表面建模。利用Kirchhoff近似(KA)获得了粗糙物体的后向散射场,并利用不同方位角和频率下的后向散射场获得了粗糙物体的SAL图像。本文对简单板目标、圆形目标和复杂目标的SAL图像进行了仿真,结果表明,SAL图像不仅能反映目标的形状,还能反映目标的粗糙度,本文对此进行了具体分析。在成像过程中,不同的频域宽度、频域采样精度和角采样精度都会对SAL图像产生影响。频域宽度越宽,成像精度越高,成像效果越好,但只需要在合理的范围内满足要求,本文对此进行了分析。
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