A Marsh Liam, van Verre Wouter, L Davidson John, Gao Xianyang, J W Podd Frank, J Daniels David, J Peyton Anthony
The Department of Electrical and Electronic Engineering, The University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Sensors (Basel). 2019 Aug 2;19(15):3390. doi: 10.3390/s19153390.
Dual mode detectors combining metal detection and ground-penetrating radar are increasingly being used during humanitarian demining operations because of their ability to discriminate metal clutter. There are many reports in the academic literature studying metal detector and ground-penetrating radar systems individually. However, the combination of these techniques has received much less attention. This paper describes the development of a novel dual modality landmine detector, which integrates spectroscopic metal detection with ground-penetrating radar. This paper presents a feature-level sensor fusion strategy based on three features extracted from the two sensors. This paper shows how the data from the two components can be fused together to enrich the feedback to the operator. The algorithms presented in this paper are targeted at automating the location of buried, visibly obscured objects; however, the system described is also capable of collecting information which could also be used for the potential classification of such items.
由于能够区分金属杂波,结合金属探测和探地雷达的双模式探测器在人道主义排雷行动中越来越多地被使用。学术文献中有许多单独研究金属探测器和探地雷达系统的报告。然而,这些技术的结合受到的关注要少得多。本文描述了一种新型双模式地雷探测器的开发,该探测器将光谱金属探测与探地雷达集成在一起。本文提出了一种基于从两个传感器提取的三个特征的特征级传感器融合策略。本文展示了如何将来自两个组件的数据融合在一起,以丰富向操作员的反馈。本文提出的算法旨在自动定位掩埋的、明显模糊的物体;然而,所描述的系统也能够收集可用于此类物品潜在分类的信息。