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3D Template Based Automatic Landmine Detection from GPR Data

机译:基于模板基于GPR数据的自动地雷检测

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In this paper, we present a 3D template based landmine automatic detection from GPR data. A 3D template is chosen and a 3D fuzzy template is designed. The choice of the 3D template is decided based on smooth changing position of the maximum amplitude at every C-scan as well as the threshold of its background average intensity. The 3D fuzzy template is extracted from 3D template crisp data. GPR similarity for both the 3D template as well as its fuzzy template is examined by crisp similarity measure and fuzzy similarity measure respectively. The cross correlation is applied as a similarity measure in crisp case while a fuzzy similarity measure, based on similarity of a measured data to a fuzzy rule, is applied in the fuzzy template case. Results of similarity applying both methods for automatic landmine detection are presented. The results show the promise of 3D fuzzy template and the fuzzy similarity measure in differentiating a landmine from other objects.
机译:在本文中,我们提出了一种基于GPR数据的3D模板自动检测。选择3D模板,设计了一个3D模糊模板。基于每个C扫描的最大幅度的平滑变化位置以及其背景平均强度的阈值来确定3D模板的选择。 3D模糊模板从3D模板清晰数据中提取。通过清晰的相似性度量和模糊相似性测量来检查3D模板以及其模糊模板的GPR相似性。在模糊模板壳中应用基于测量数据的相似性的模糊相似度测量来应用互相关作为脆性情况。介绍了应用两种自动地图检测方法的相似性结果。结果表明了3D模糊模板的承诺和从其他物体区分地雷的模糊相似度措施。

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