Phasor-Quaternion Self-Organizing-Map-Based Ground Penetrating Radar Systems
Phasor-Quaternion Self-Organizing-Map-Based Ground Penetrating Radar Systems
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DOI：
10.1109/tgrs.2021.3065137
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发表时间：
2021-03
影响因子：
8.2
通讯作者：
Yicheng Song;A. Hirose
中科院分区：
文献类型：
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作者：
Yicheng Song;A. Hirose
探地雷达（GPR）系统的可视化在各个应用领域有着广泛的需求。我们传统的可视化方法主要是基于散射参数的频率和空间相关性提取特征向量，然后在无监督分组中使用复值自组织映射（CSOM）来实现可视化。然而，这种方法有时会出现边界不清晰和检测到的对象的变形形状的问题。在本文中，我们提出了一种新的算法，相量四元数自组织映射（PQSOM），庞加莱矢量相结合的基础上，这是组织在相量四元数（PQ）的形式。通过考虑偏振态和相位信息作为各自的对应物，我们实现了更准确的分组结果。通过对地下地雷的可视化实验，发现与以往的方法相比，该方法在边界清晰度和物体形状方面都有了很大的提高。
Visualization by ground penetrating radar (GPR) systems has a wide demand in various application fields. Our conventional visualization method mainly extracts feature vectors based on the frequency and spatial correlation of scattering parameters and then uses complex-valued self-organizing maps (CSOM) in unsupervised grouping to achieve visualization. However, this method sometimes shows problems of unclear boundary and deformed shape of a detected object. In this article, we propose a novel algorithm, phasor-quaternion self-organizing map (PQSOM), based on the Poincare vectors combined with phase, which is organized in phasor-quaternion (PQ) form. By considering both the polarization state and the phase information as respective counterparts, we achieve a more accurate grouping result. Through visualization experiments of underground landmines, we find that, compared with the previous methods, the boundary clarity and the shape of objects are improved.