SPOT-GPR: A Freeware Tool for Target Detection and Localizationin GPR Data Developed within the COST Action TU1208
SPOT-GPR: A Freeware Tool for Target Detection and Localizationin GPR Data Developed within the COST Action TU1208
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SPOT-GPR：在 COST 行动 TU1208 内开发的用于 GPR 数据目标检测和定位的免费软件工具
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
L. Pajewski
中科院分区：
文献类型：
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作者：
S. Meschino;L. Pajewski
Spot-GPR(Release 1.0)是一个新的免费软件工具，实现了一种创新的子阵处理方法，用于分析探地雷达(GPR)数据，主要目的是探测和定位目标。该软件在MatLab中实现，具有图形用户界面和简短的使用手册。这项工作是由欧洲科学技术合作(COST)资助并在费用行动TU1208“探地雷达的土木工程应用”(www.GPRadar.eu)框架内进行的一系列三个短期科学任务(STSM)的成果。该软件的输入是探地雷达雷达图(B超)。雷达图被划分为子雷达图，每个子雷达图由几条轨迹(A扫描)组成。利用包含在每个道中的多频率信息，并为每个子雷达图计算电磁场的一组主要到达方向(DOA)。对估计的角度进行三角划分，得到浓缩在目标位置周围的交叉图案。这样的模式被过滤，以便去除不想要的交叉的噪声背景，然后通过应用统计过程来处理。最后对目标进行检测，并对其位置进行预测。在波达方向估计中，采用了多信号分类(MUSIC)算法，并结合匹配滤波技术。据我们所知，这是首次将匹配滤波技术用于探地雷达数据处理。利用时域有限差分模拟器gprmax对探地雷达合成雷达图进行了测试，取得了很好的效果。波达方向算法；探地雷达；匹配滤波技术；多信号分类；子阵处理。
SPOT-GPR (release 1.0) is a new freeware tool implementing an innovative Sub-Array Processing method, for the analysis of Ground-Penetrating Radar (GPR) data with the main purposes of detecting and localizing targets. The software is implemented in Matlab, it has a graphical user interface and a short manual. This work is the outcome of a series of three Short-Term Scientific Missions (STSMs) funded by European COoperation in Science and Technology (COST) and carried out in the framework of the COST Action TU1208 “Civil Engineering Applications of Ground Penetrating Radar” (www.GPRadar.eu). The input of the software is a GPR radargram (B-scan). The radargram is partitioned in sub-radargrams, composed of a few traces (A-scans) each. The multi-frequency information enclosed in each trace is exploited and a set of dominant Directions of Arrival (DoA) of the electromagnetic field is calculated for each sub-radargram. The estimated angles are triangulated, obtaining a pattern of crossings that are condensed around target locations. Such pattern is filtered, in order to remove a noisy background of unwanted crossings, and is then processed by applying a statistical procedure. Finally, the targets are detected and their positions are predicted. For DoA estimation, the MUltiple SIgnal Classification (MUSIC) algorithm is employed, in combination with the matched filter technique. To the best of our knowledge, this is the first time the matched filter technique is used for the processing of GPR data. The software has been tested on GPR synthetic radargrams, calculated by using the finite-difference time-domain simulator gprMax, with very good results. Keywords—Direction-of-Arrival algorithms, Ground-Penetrating Radar, matched filter technique, MUltiple SIgnal Classification (MUSIC), Sub-Array Processing.