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A New Method for Shape Assessment of Buried Objects

机译:掩埋物体形状评估的新方法

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摘要

The purpose of this paper is to present a new method for evaluation of 3D object shapes which are inside of different environments, and a direct visual contact is not possible. High resolution sensors could solve this kind of problem, mainly by inverse electromagnetic scattering using antenna arrays or synthetic apertures. A cheaper solution is to radiate acoustic field inside of the searched environment. The object detection is realized when the level of received signal exceeds a certain value. The object shape could be appreciated by analyze of 10 consecutive resonant frequencies. Spectral distribution of the resonant frequencies represents the object "signature", and it is related to spatial object dimensions. For a given object, this spectral distribution could show how large the object is, in what way the outer surface is smooth or rough or how large the roughness is. The simulation results for three types of objects: pyramid, sphere, and ellipsoid cavities, smooth and rough are presented. Two roughnesses were selected for each object. The resonant frequencies of different objects could be stored and used for medical application (for instance, diagnosis of a tissue whether it is benign or malignant), mine detection buried in ground or evaluation of the different substances filling up the buried objects.
机译:本文的目的是提出一种评估不同环境内部的3D对象形状的新方法,并且无法进行直接的视觉接触。高分辨率传感器可以解决此类问题,主要是通过使用天线阵列或合成孔径进行反向电磁散射。较便宜的解决方案是在搜索到的环境内部辐射声场。当接收信号的电平超过特定值时,实现目标检测。通过分析10个连续的谐振频率可以了解物体的形状。共振频率的频谱分布表示物体的“特征”,它与空间物体的尺寸有关。对于给定的对象,此光谱分布可以显示对象有多大,外表面光滑或粗糙的方式或粗糙度有多大。给出了三种对象的仿真结果:金字塔对象,球体对象和椭圆形腔体(光滑和粗糙)。为每个对象选择两个粗糙度。可以存储不同对象的共振频率,并将其用于医学应用(例如,诊断组织是良性还是恶性),埋在地下的地雷探测或评估填充有埋入对象的不同物质。

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