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首页> 外文期刊>International Journal of Microwave and Wireless Technologies >Investigation on the scattering characteristics and unsupervised clustering of 3D printed samples
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Investigation on the scattering characteristics and unsupervised clustering of 3D printed samples

机译：三维印刷样品散射特性及无人监督聚类的研究

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摘要

In this work, the scattering characteristics of 3D-printed samples are being investigated by using a single-polarized and a cross-polarized radar system. The 3D-printed technology participates in a wide range of applications nowadays. The idea of synthetic aperture radar (SAR) has been utilized to investigate the reflected electromagnetic energy from the 3D-printed samples by setting each of the radar systems in a fixed position and the mounting sample on anx-ypositioning table which has been used to achieve rectangular-scan mode for SAR. The data have been ported and processed by the matched filter approach. For better image interpretation, the data have been further processed by the median filter in order to reduce noise level while preserving the main image details. Afterwards, the data have been further investigated for determining and classifying any possible defects. This process has been accomplished by deploying the unsupervised learning concept to cluster the SAR responses into two groups, compromising the defected positions responses and the non-defected responses. The obtained results of both radar sensors have been compared and evaluated using different quality assessment factors. Moreover, unsupervised learning techniques have been investigated and the obtained results show a high degree of efficiency in clustering the SAR responses.
机译：在这项工作中，通过使用单极化和交叉极化雷达系统来研究3D印刷样品的散射特性。 3D印刷技术现在参与各种应用。已经利用了合成孔径雷达（SAR）的思想来通过将每个雷达系统设置在用于实现的ANX-Y.Position表上的固定位置和安装样品上，从3D印刷样品中研究反射的电磁能。已经用于实现的SAR的矩形扫描模式。数据已被匹配的滤波器方法移植和处理。为了更好的图像解释，中值滤波器进一步处理了数据，以便在保留主图像细节的同时降低噪声水平。之后，进一步研究了数据以确定和分类任何可能的缺陷。该过程已经通过部署无监督的学习概念来集聚SAR响应分为两组，损害缺陷的位置响应和未缺陷的反应。已经使用不同的质量评估因子进行了比较和评估了两种雷达传感器的所得结果。此外，已经研究了无监督的学习技术，并且获得的结果表明了聚类SAR反应的高度效率。

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