https://scholars.lib.ntu.edu.tw/handle/123456789/632875
標題: | Deep-Learning Linear Sampling Method for Shape Restoration of Multilayered Scatterers | 作者: | Kuo, Yu Hsin JEAN-FU KIANG |
公開日期: | 1-一月-2022 | 卷: | 124 | 來源出版物: | Progress In Electromagnetics Research C | 摘要: | A deep learning linear sampling method (DLSM), composed of linear sampling method (LSM) and a convolutional neural network (CNN) of U-Net, is proposed to restore shape of multilayered scatterers with cylindrical or rectangular cross section. Simulations over random samples with different geometrical parameters are used to verify the efficacy of the proposed method. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/632875 | ISSN: | 19378718 | DOI: | 10.2528/pierc22081005 |
顯示於: | 電機工程學系 |
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