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Ultra-wideband 3D image processing for improving landmine detection with GPR

机译:超宽带3D图像处理,可通过GPR改善地雷探测

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摘要

This paper describes a new landmine detection algorithm starting from high resolution 3D ground penetrating radar (GPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3D GPR images. The algorithm has been tested on data measured with an ultra-wideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.
机译:本文介绍了一种从高分辨率3D探地雷达(GPR)图像开始的新型地雷检测算法。该算法包括两个过程,目标检测和目标分类。两者都很大程度上取决于3D GPR图像的属性。该算法已在由国际电信与雷达研究中心(IRCTR)开发的超宽带(UWB)视频脉冲雷达(VIR)系统测量的数据上进行了测试。结果发现,该算法能够检测所有地雷(包括难以检测的M14地雷),并且几乎正确地对几乎所有地雷进行了分类,从而大大减少了由混乱引起的误报次数。事实证明,对于去除杂波而言,最有效的方法是消除高度小的检测对象。

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