期刊論文

學年 113
學期 2
出版(發表)日期 2025-07-01
作品名稱 Electromagnetic Imaging for Buried Conductors in the Slab Medium by Direct Sampling Method and U-Net
作品名稱(其他語言)
著者 Chien-Ching Chiu;Po-Hsiang Chen;Hsiu-Hui Hsu and Hao Jiang
單位
出版者
著錄名稱、卷期、頁數 Journal of Electromagnetic Waves and Applications 39(4), pp. 394-407
摘要 This paper presents convolutional neural network (CNN) with deep learning methods to reconstruct electromagnetic imaging of buried conductors in slab medium. First, we emit transverse magnetic (TM) waves to illuminate the buried conductors in the slab medium. Direct sampling method (DSM) is used to estimate the image by the measured scattered field. The estimated image is then inputted to CNN for accurate electromagnetic reconstruction. We analyze the reconstruction performance of different conductor shapes in the noise environment. Numerical results show that our proposed method is capable to reconstruct good images for conductors buried in the slab medium. In conclusion, in addition to simple shapes such as spherical and elliptical buried conductors, edge details of other irregular shapes can also be well reconstructed
關鍵字 Electromagnetic imaging;slab medium;buried conductors;direct sampling method;convolutional neural network
語言 en_US
ISSN
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 USA
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/987654321/127751 )