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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Super-Resolution Reconstruction of Radar Tomographic Image Based on Image Decomposition
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Super-Resolution Reconstruction of Radar Tomographic Image Based on Image Decomposition

机译:基于图像分解的雷达断层图像超分辨率重建

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摘要

In this letter, the relationship between target scattering function and point spread function of radar tomographic imaging is discussed, and an inherent super-resolution reconstruction algorithm based on image decomposition (ID) is proposed. By removing the cross disturbance due to the resolution limitation, the exact radar images can be obtained. Furthermore, the total least-square regulation is applied to the ID-based algorithm in cases of additive white Gaussian noise and small parameter estimation error. Finally, the effectiveness of the proposed algorithm is demonstrated via numerical simulations.
机译:本文探讨了雷达层析成像目标散射函数与点扩展函数之间的关系,提出了一种基于图像分解(ID)的固有超分辨率重建算法。通过消除由于分辨率限制而引起的交叉干扰,可以获得准确的雷达图像。此外,在加性高斯白噪声和小参数估计误差的情况下,将总最小二乘规则应用于基于ID的算法。最后,通过数值仿真证明了该算法的有效性。

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