This article presents a microwave imaging (MWI) algorithm that can incorporate prior structural information, also known as spatial priors (SP), about the object being imaged to enhance the achievable image quantitative accuracy. This algorithm: 1) is fully automated and 2) can work with both complete and partially available structural information. The core idea of this imaging algorithm is to use a multiplicative regularization term to incorporate SP, and a second regularization term to handle the lack of structural information in a given part of the imaging domain. This algorithm, which has been implemented for the 2-D transverse magnetic case, is evaluated against single-frequency and multiple-frequency synthetic and experimental MWI data sets.

中文翻译：

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通过乘法正则化在微波成像中结合空间先验

本文介绍了一种微波成像 (MWI) 算法，该算法可以结合关于被成像对象的先验结构信息，也称为空间先验 (SP)，以提高可实现的图像定量精度。该算法：1) 完全自动化，2) 可以处理完整和部分可用的结构信息。该成像算法的核心思想是使用乘法正则化项来合并SP，并使用第二个正则化项来处理成像域给定部分中结构信息的缺失。该算法已针对 2-D 横向磁性情况实施，针对单频和多频合成和实验 MWI 数据集进行评估。