Imaging of Rough Surfaces by RTM Method-Reference-Cited by-同舟云学术

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Imaging of Rough Surfaces by RTM Method

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sefer Ahmet¹^ORCID,Yapar Ali²^ORCID,Yelkenci Tanju³^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, Işık University, Istanbul, Turkey

2. Department of Electrical and Communications Engineering, Istanbul Technical University, Istanbul, Turkey

3. Department of Electrical and Electronics Engineering, Turkish-German University, Istanbul, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10463062.pdf?arnumber=10463062

Reference53 articles.

1. CNN-Based Deep Learning Architecture for Electromagnetic Imaging of Rough Surface Profiles

2. Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture

3. Recovery of correlation function of internal random rough surfaces from diffusely scattered elastic waves

4. The reconstruction of shallow rough-surface profiles from scattered field data

5. A MUSIC Algorithm for Locating Small Inclusions Buried in a Half-Space from the Scattering Amplitude at a Fixed Frequency

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