Investigation of Time–Frequency Features for GPR Landmine Discrimination

Investigation of Time–Frequency Features for GPR Landmine Discrimination
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DOI:
10.1109/tgrs.2006.885077
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发表时间:
2007
影响因子:
8.2
通讯作者:
T. Savelyev;L. V. Kempen;H. Sahli;J. Sachs;Motoyuki Sato
T. Savelyev;L. V. Kempen;H. Sahli;J. Sachs;Motoyuki Sato
中科院分区:
工程技术1区
文献类型:
--
作者:
T. Savelyev;L. V. Kempen;H. Sahli;J. Sachs;Motoyuki Sato

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探地雷达能够探测塑料杀伤人员地雷以及其他地下目标。为了减少假警报,一种从中立的类地雷目标中自动识别地雷的办法将是非常有用的。本文提出了这种歧视的可能性,并进行了实验分析。研究了超宽带(UWB)目标响应的时频特征,用于区分埋雷和其他目标。识别方法包括提取早期目标脉冲响应、时频变换和基于奇异值分解的时频特征提取。为了考虑到UWB目标信号的变化,实验条件被完全控制,专注于目标的响应相对于其深度和它上面的GPR的水平位置的行为,以及对GPR带宽的依赖性的特征进行了分析。Mahalanobis距离被用作最佳区分的标准。所获得的结果定义了地雷识别成功时的最佳特征和条件。为了进行比较,在安哥拉的一次实地活动中获得的数据集上测试了所提出的特征的判别能力
Ground-penetrating radar (GPR) is capable to detect plastic antipersonnel landmines as well as other subsurface targets. In order to reduce false alarms, an option of automatic landmine discrimination from neutral minelike targets would be very useful. This paper presents a possibility for such discrimination and analyzes it experimentally. The authors investigate time-frequency features of an ultrawideband (UWB) target response for the discrimination between buried landmines and other objects. The discrimination method includes the extraction of an early-time target impulse response, its time-frequency transformation, and the extraction of time-frequency features based on a singular value decomposition of the transformed image. In order to take into account the changes in the UWB target signals, the experimental conditions are completely controlled to focus on the behavior of the target's response with respect to its depth and the horizontal position of the GPR above it. The dependence of the features on the GPR bandwidth is analyzed as well. The Mahalanobis distance is used as a criterion for optimal discrimination. The obtained results define the best features and conditions when the landmine discrimination is successful. For comparison, the discriminant power of the proposed features has been tested on a dataset, acquired during a field campaign in Angola