Sparse model inversion and processing of spatial frequency-domain electromagnetic induction sensor array data for improved landmine discrimination
Sparse model inversion and processing of spatial frequency-domain electromagnetic induction sensor array data for improved landmine discrimination
复制标题
稀疏模型反演和空间频域电磁感应传感器阵列数据处理以改进地雷识别
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
K. Morton
中科院分区：
文献类型：
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作者：
S. Tantum;K. Colwell;W. Scott;P. Torrione;L. Collins;K. Morton
频域电磁感应传感器已被证明可提供目标特征，从而能够将地雷与无害的杂波区分开来。特别是，频域EMI传感器非常适合通过反转基于物理的信号模型来进行目标表征。在许多基于模型的信号处理范例中，目标签名可以被分解成参数化基函数的加权和，其中基函数是所考虑的目标固有的，并且相关联的权重是目标传感器取向的函数。当传感器阵列数据可用时，测量信号的空间多样性可以提供用于估计基函数参数的更多信息。通过模型反演，得到的基函数参数可以作为基于模型的目标分类的基础。在这项工作中，稀疏模型反演空间频域EMI传感器阵列数据，然后使用统计模型的目标分类进行了研究。在一个标准化的测试现场与原型频域EMI传感器测量的数据的结果。初步结果表明，提取基于物理的功能，从空间频域EMI传感器阵列数据，然后通过统计分类提供了一种有效的方法，地雷或杂波的目标分类。
Frequency-domain electromagnetic induction (EMI) sensors have been shown to provide target signatures which enable discrimination of landmines from harmless clutter. In particular, frequency-domain EMI sensors are well-suited for target characterization by inverting a physics-based signal model. In many model-based signal processing paradigms, the target signatures can be decomposed into a weighted sum of parameterized basis functions, where the basis functions are intrinsic to the target under consideration and the associated weights are a function of the target sensor orientation. When sensor array data is available, the spatial diversity of the measured signals may provide more information for estimating the basis function parameters. After model inversion, the basis function parameters can form the foundation of model-based classification of the target as landmine or clutter. In this work, sparse model inversion of spatial frequency-domain EMI sensor array data followed by target classification using a statistical model is investigated. Results for data measured with a prototype frequency-domain EMI sensor at a standardized test site are presented. Preliminary results indicate that extracting physics-based features from spatial frequency-domain EMI sensor array data followed by statistical classification provides an effective approach for classifying targets as landmine or clutter.