一种基于小波变换的地物识别方法

R. Araneo, S. Barmada, F. Maradei
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引用次数: 0

摘要

地埋目标的检测通常需要通过目标的电磁特征来区分目标和杂波。然而,信号通常仅限于震级或仅局限于场的单个分量,这使得检测问题非常困难,特别是在处理塑料目标时。本工作的目的是数值研究一种新的检测系统,该系统基于高频电磁场所有分量的幅度和相位,以及一种新的小波后处理
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A wavelet approach for the discrimination of buried objects
The detection of buried objects generally requires the discrimination between targets and clutters through the EM signature of the object. However the signature is generally limited to the magnitude or just to a single component of the field, making the detection problem tremendously difficult, especially when dealing with plastic target. The purpose of the present work is to numerically investigate a new detection system, based on both the magnitude and phase of all the components of the E-field at high frequencies, together with a new wavelet post-processing
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