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Dual-EMI System for Object Classification

机译:用于目标分类的双EMI系统

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摘要

Two vehicle mounted metal detector arrays are used in conjunction to perform object classification. The first array (Vallon VMV-16) contains small coils for detecting shallow targets. The second array (Minelab STMR II) contains receive coils of roughly the same size, but a single large transmitter for detecting deep targets. These two sensors are used together to classify objects as: "SHALLOW and LARGE"/"DEEP and LARGE", or "SHALLOW and SMALL". SHALLOW/DEEP implies the depth of the object; SMALL/LARGE implies the metal content. These object classes are further specified within the paper. An experiment is performed using unexploded ordnance (UXO) and shallow buried calibration objects. The UXO ranges in depth from flush buried to 48". The calibration targets consist of metallic cylinders ranging in depth from flush buried to 12". The strength of each sensor is described and a fusion algorithm is developed. A detection performance curve is shown illustrating the benefit of multi-sensor fusion for UXO detection.
机译:结合使用两个车载金属探测器阵列来执行对象分类。第一个阵列(Vallon VMV-16)包含用于检测浅目标的小线圈。第二个阵列(Minelab STMR II)包含大小大致相同的接收线圈,但只有一个大型发射器,用于检测深目标。这两个传感器一起用于将对象分类为:“浅而大” /“深而大”或“浅而小”。 SHALLOW / DEEP表示对象的深度;小/大表示金属含量。这些对象类在本文中进一步指定。使用未爆炸弹药(UXO)和浅埋标定物体进行了实验。 UXO的深度范围从埋入深度到48“。校准目标由金属圆柱体组成,深度从埋入深度到12”。描述了每个传感器的强度,并开发了一种融合算法。显示了检测性能曲线,说明了多传感器融合对UXO检测的好处。

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