GPR Data Reconstruction Using Residual Feature Distillation Block U-Net-Reference-Cited by-同舟云学术

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GPR Data Reconstruction Using Residual Feature Distillation Block U-Net

Published:2023 Issue: Volume:16 Page:6958-6968
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Dai Qianwei¹,He Yue¹^ORCID,Lei Yi²^ORCID,Lei Jianwei³^ORCID,Wang Xiangyu¹^ORCID,Zhang Bin¹^ORCID

Affiliation:

1. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Central South University, Changsha, China

2. School of Civil Engineering, Central South University, Changsha, China

3. Yellow River Laboratory, Zhengzhou University, Zhengzhou, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Postdoctoral Science Foundation of Central South University

2022 Graduate Independent Exploration and Innovation Project of Central South University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10124341.pdf?arnumber=10124341

Reference45 articles.

1. Random noise attenuation using f-x regularized nonstationary autoregression

2. Deep Convolutional Denoising Autoencoders with Network Structure Optimization for the High-Fidelity Attenuation of Random GPR Noise

3. Fast high-resolution 3D radar imaging based on 3D FISTA

4. GPR Image Recovery Effect on Faster R-CNN-Based Buried Target Detection

5. What can machine learning do for seismic data processing? An interpolation application

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2. Looking Beneath More: A Sequence-based Localizing Ground Penetrating Radar Framework;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Deep Learning-Based Suppression of Strong Noise in GPR Data for Railway Subgrade Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. VAE-ResNet Cascade Network: An Advanced Algorithm for Stochastic Clutter Suppression in Ground Penetrating Radar Data;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Refined Target Signature Segmentation From GPR B-Scans Based on the MaskScoreNet-E Model and RATS Method;IEEE Transactions on Geoscience and Remote Sensing;2024

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