An Electromagnetic Approach Based on Neural Networks for the GPR Investigation of Buried Cylinders-Reference-Cited by-同舟云学术

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An Electromagnetic Approach Based on Neural Networks for the GPR Investigation of Buried Cylinders

Published:2005-01 Issue:1 Volume:2 Page:3-7
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:en
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Caorsi S.,Cevini G.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx5/8859/30115/01381337.pdf?arnumber=1381337

Cited by 41 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Near-field microwave sensing technology enhanced with machine learning for the non-destructive evaluation of packaged food and beverage products;Scientific Reports;2024-06-11

2. GPR Full-Waveform Inversion With Deep-Learning Forward Modeling: A Case Study From Non-Destructive Testing;IEEE Transactions on Geoscience and Remote Sensing;2023

3. Background Removal, Velocity Estimation, and Reverse-Time Migration: A Complete GPR Processing Pipeline Based on Machine Learning;IEEE Transactions on Geoscience and Remote Sensing;2023

4. Recognition of hidden distress in asphalt pavement based on convolutional neural network;International Journal of Pavement Engineering;2022-09-26

5. Mapping the Buried Cable by Ground Penetrating Radar and Gaussian-Process Regression;IEEE Transactions on Geoscience and Remote Sensing;2022

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