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Data Processing and Imaging in GPR System Dedicated for Landmine Detection

机译：专用于地雷探测的GPR系统中的数据处理和成像

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Improvements of GPR technology can be attained by making adjustments specific for the application of landmine detection on three levels: system design, data acquisition and data processing. In this paper we describe data processing algorithms specially developed for a novel video impulse ultra-wide band front end. With this front end, three-dimensional measurements (C-scans) have been carried out over a controlled test site, using a non-metallic scanner. The test site contained surface-laid and shallow buried landmines, both antitank and antipersonnel, made of plastic, wood, and metal. Because of practical limitations, the data have been acquired on an irregular grid. We have designed data preprocessing and imaging algorithms such that they take into account the specific antenna geometry and its elevation above the ground as well as the irregularity of the data acquisition grid. We show that by tuning the data preprocessing and imaging to the newly designed radar front end and to the particular data acquisition strategy, we obtain clear subsurface images. The resulting images show the ability of the GPR system to detect and visualize small surface laid and shallow buried targets.
机译：可以通过在三个层面上针对地雷检测的应用进行特定的调整来实现GPR技术的改进：系统设计，数据采集和数据处理。在本文中，我们描述了专门为新型视频脉冲超宽带前端开发的数据处理算法。有了这个前端，就已经使用非金属扫描仪在受控的测试地点进行了三维测量（C扫描）。测试地点包含由塑料，木材和金属制成的地表和浅埋地雷，包括反坦克和杀伤人员。由于实际的限制，数据已在不规则的网格上获取。我们设计了数据预处理和成像算法，以便将特定的天线几何形状及其在地面上方的高度以及数据采集网格的不规则性考虑在内。我们表明，通过将数据预处理和成像调整到新设计的雷达前端以及特定的数据采集策略，我们可以获得清晰的地下图像。所得图像显示了GPR系统检测并可视化小型地面和浅埋目标的能力。

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