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Focusing Technique for Holographic Subsurface Radar Based on Image Entropy

机译：基于图像熵的全息地下雷达聚焦技术

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An image focusing method for holographic subsurface radar (HSR) is proposed herein. HSR is increasingly being utilized to survey objects buried at shallow depths and the acquired signals are converted into an image by a reconstruction algorithm. However, that algorithm requires actual depth and material information or depends on human decisions. In this paper, an entropy-based image focusing technique is proposed and validated by numerical simulation software package based on finite-difference time-domain method and experiment. The resulting images show good agreement with the actual positions and shapes of the targets. on the measuring plane can be reconstructed using the proper algorithms [3, 5]. For proper algorithm processing, the depth of the object plane and relative permittivity (RP) of the subsurface materials are required to obtain a clear image. However, the RP may not be known exactly in a survey environment, so whether the radar image is clear and well-focused is judged by the operator. In this paper, we apply an entropy-based image focusing method to reconstruct automatically an HSR image when subsurface materials and depth of the target are unknown.
机译：本文提出了一种全息地下雷达（HSR）的图像聚焦方法。越来越多地利用HSR来调查埋在浅深度的对象，并且通过重建算法将所获取的信号转换为图像。但是，该算法需要实际深度和材料信息或取决于人类决策。本文通过基于有限差分时间域方法和实验，通过数值模拟软件包提出和验证了基于熵的图像聚焦技术。由此产生的图像与目标的实际位置和形状显示出良好的一致性。可以使用适当的算法[3,5]来重建测量平面。对于适当的算法处理，需要所处的物体平面和地下材料的相对介电常数（RP）来获得清晰的图像。然而，RP可能无法在调查环境中完全先，因此操作者判断雷达图像是否清晰且聚焦良好。在本文中，我们应用基于熵的图像聚焦方法来在地下材料和目标的深度未知时自动重建HSR图像。

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