Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology
學年 112
學期 1
出版（發表）日期 2023-10-27
作品名稱 Microwave Imaging of Anisotropic Objects by Artificial Intelligence Technology
作品名稱（其他語言）
著者 Chiu, Chien-ching
單位
出版者
著錄名稱、卷期、頁數 Sensors 23(21),　8781
摘要 In this paper, we present the microwave imaging of anisotropic objects by artificial intelligence technology. Since the biaxial anisotropic scatterers have different dielectric constant components in different transverse directions, the problems faced by transverse electronic (TE) polarization waves are more complex than those of transverse magnetic (TM) polarization waves. In other words, measured scattered field information can scarcely reconstruct microwave images due to the high nonlinearity characteristic of TE polarization. Therefore, we first use the dominant current scheme (DCS) and the back-propagation scheme (BPS) to compute the initial guess image. We then apply a trained convolution neural network (CNN) to regenerate the microwave image. Numerical results show that the CNN possesses a good generalization ability under limited training data, which could be favorable to deploy in image processing. Finally, we compare DCS and BPS reconstruction images for anisotropic objects by the CNN and prove that DCS is better than BPS. In brief, successfully reconstructing biaxial anisotropic objects with a CNN is the contribution of this proposal.
關鍵字 microwave imaging;anisotropic objects;convolution neural network;dielectric objects;artificial intelligence;inverse scattering problem
語言 en_US
ISSN 1424-8220
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 Chiu, Chien-ching
審稿制度 否
國別 CHE
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/124890 )