Experimental studies of subsurface target discrimination using a phase-based microwave imaging method

V. Mikhnev, P. Vainikainen
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引用次数: 5

Abstract

In this work, performance of a novel two-parameter method of microwave subsurface visualization has been studied with the use of experimental data. The method is based on building the image of subsurface area in which the amplitude data govern intensity of the pixels whereas their color is associated with phase information. The phase is understood here as the phase shift related to the reflection act from the buried object. As this phase depends on dielectric properties of buried target, one can distinguish targets by their phase profile. It is shown that the images of different buried objects built with the use of experimental data differ considerably that allows distinguishing them. On the other hand, the phase profiles of the same object are found to be quite stable with respect to its depth ranging from moderate to shallow. This is important for reliability of the discrimination.
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基于相位的微波成像法地下目标识别实验研究
本文利用实验数据研究了一种新的双参数微波地下可视化方法的性能。该方法基于建立地下区域图像,其中幅度数据控制像素的强度,而像素的颜色与相位信息相关联。相位在这里被理解为与被埋物体的反射作用有关的相移。由于这一相位取决于目标的介电特性,因此可以通过目标的相位分布来区分目标。实验结果表明,利用实验数据建立的不同地物图像差异很大,可以区分它们。另一方面,发现同一物体的相位分布相对于其深度在中等到浅范围内是相当稳定的。这对判别的可靠性很重要。
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“Spurious” analysis of a wide bandwidth undersampled digitally heterodyned SFGPR Recursive integration CFS-PML for GPR FDTD modelling Application of neural network and principal component analysis to GPR data Experimental studies of subsurface target discrimination using a phase-based microwave imaging method GPR prospecting in Renaissance and baroque monuments in Lecce (Southern Italy)
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