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首页> 外文期刊>Microwave and optical technology letters >A SYNTHETIC APERTURE RADAR-BASED FOCUSING ALGORITHM FOR B-SCAN GROUND PENETRATING RADAR IMAGERY
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A SYNTHETIC APERTURE RADAR-BASED FOCUSING ALGORITHM FOR B-SCAN GROUND PENETRATING RADAR IMAGERY

机译:基于合成孔径雷达的B扫描地面穿透成像的聚焦算法

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摘要

In the classical B-Scan ground penetrating radar (GPR) imagery, unprocessed image domain data exhibit undesired hyperbolic effects and therefore have low resolution features. To solve this problem, various focusing or migration techniques have been developed and applied to focus the scattered energy at their true spatial locations in the object space. In this article, we present a synthetic aperture radar (SAR) based focusing algorithm to obtain well-localized two-dimensional B-scan GPR images of various buried objects. The concept and the formulation of our frequency domain based imaging algorithm are presented. The performance of the algorithm is tested with both the simulated and measurement data. The simulation data are generated by a physical optics shooting and bouncing ray (PO-SBR) technique code; whereas the C-band measured data are collected via an experimental set-up for different ground environments. Almost perfect focusing performance is achieved for the simulated GPR images. Similarly, well-focused GPR images with high lateral resolutions are also obtained for the measurement data from metallic and non-metallic buried objects.
机译:在经典的B扫描探地雷达(GPR)图像中,未处理的图像域数据表现出不希望的双曲线效果,因此具有低分辨率特征。为了解决这个问题,已经开发出各种聚焦或迁移技术并将其用于将散射的能量聚焦在物体空间中它们的真实空间位置。在本文中,我们提出一种基于合成孔径雷达(SAR)的聚焦算法,以获取定位良好的各种掩埋物体的二维B扫描GPR图像。介绍了基于频域的成像算法的概念和公式。使用仿真数据和测量数据测试算法的性能。仿真数据是通过物理光学射击和弹跳射线(PO-SBR)技术代码生成的;而C波段的测量数据是通过针对不同地面环境的实验装置收集的。对于模拟的GPR图像,可以实现几乎完美的聚焦性能。类似地,还从金属和非金属掩埋物体获得了具有高横向分辨率的聚焦良好的GPR图像作为测量数据。

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