满足Born-Rytov近似的非均匀介质中的电磁图像重建技术

W. Boerner
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引用次数: 0

摘要

发展投影层析重建算法的基础是直线射线路径传播的假设。但是,如果传播发生在离散的非均匀介质中,其波长与散射体的大小相同,则不能再忽略折射、反射和衍射等现象,直线投影层析方法就失败了。当折射率存在较大差异时,这一点尤其明显,例如在非均匀大气介质中遇到的dm- mm波传播,代表水陨石分布、海洋边界层、地表下垫层或软组织内的骨和软层。对于一般矢量散射情况,严格要求采用偏振辐射传递方法,没有精确解,在本研究中,假设介质弱衍射,因此Born和Rytov近似是有效的。基于这一假设,最近发展了各种衍射成像方法,我们的研究基于Devaney的反向传播层析成像方法,该方法是在标量波理论基础上发展起来的。本研究的主要目标是将这项工作扩展到电磁矢量波理论的领域,以改进电磁波谱中dm- mm波长区域内嵌入杂波的雷达目标的衍射校正成像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electromagnetic image reconstruction techniques in inhomogeneous media satisfying the Born-Rytov approximation
The basis for developing projection tomographic reconstruction algorithms has been the assumption of straight-line ray-path propagation. But, in the case in which propagation occurs within discretely inhomogeneous media at wavelengths of the order of the size of the scatterer, phenomena such as refraction, reflection and diffraction can no longer be neglected and a straight-line projection tomographic approach fails. This is especially evident when a large difference in refractive index occurs, such as that encountered with dm-to-mm-wave propagation in inhomogeneous atmospheric media, representing hydrometeorite distributions, the marine ocean boundary layer, the ground surface underburden, or bone and soft layers within soft tissue. An exact solution for the general vector scattering case which strictly requires a polarimetric radiative transfer approach is not available, and in this research, the assumption is made that the media are weakly diffracting so that the Born and Rytov approximations are valid. Based on this assumption, various diffraction imaging methods were developed most recently, and we are basing our studies on Devaney's back-propagation tomographic approach which was developed upon the scalar wave theory. It is the main objective of this research to extend this work to the realm of electromagnetic vector wave theory for the improved diffraction-corrected imaging of radar targets embedded in clutter within the dm-to-mm-wavelength region of the electromagnetic spectrum.
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