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Toplam kayıt 5, listelenen: 1-5
Image recovery of inaccessible rough surfaces profiles having impedance boundary condition
(IEEE, 2022)
This letter addresses a reconstruction algorithm of locally rough inaccessible surface profiles via the knowledge of the scattered field data under the consideration of the impedance boundary condition (IBC). To this aim, ...
Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture
(Taylor and Francis Ltd., 2022-08-18)
In this paper, a convolutional neural network (CNN)-based deep learning (DL) architecture for the solution of an electromagnetic inverse problem related to imaging of the shape of the perfectly electric conducting (PEC) ...
CNN-Based deep learning architecture for electromagnetic imaging of rough surface profiles
(IEEE, 2022-10)
A convolutional neural network (CNN) based deep learning (DL) technique for electromagnetic imaging of rough surfaces separating two dielectric media is presented. The direct scattering problem is formulated through the ...
Inverse scattering by perfectly electric conducting (PEC) rough surfaces: an equivalent model with line sources
(Institute of Electrical and Electronics Engineers Inc., 2022)
This paper presents a new method for the reconstruction of the perfectly electric conducting (PEC) rough surface profiles by utilizing electromagnetic waves. The inaccessible rough surface is illuminated by a tapered plane ...
Imaging of rough surfaces by RTM method
(IEEE, 2024)
An electromagnetic imaging framework is implemented utilizing a single frequency reverse time migration (RTM) technique to accurately reconstruct inaccessible two-dimensional (2D) rough surface profiles from the knowledge ...