Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data-Reference-Cited by-同舟云学术

Learning to Remove Clutter in Real-World GPR Images Using Hybrid Data

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sun Hai-Han¹^ORCID,Cheng Weixia¹,Fan Zheng¹^ORCID

Affiliation:

1. School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore

Funder

A*STAR Science and Engineering Research Council under AME Individual Research Grant (IRG) 2018

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09777703.pdf?arnumber=9777703

Reference59 articles.

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3. A Novel Convolutional Autoencoder-Based Clutter Removal Method for Buried Threat Detection in Ground-Penetrating Radar

4. DL-Based Clutter Removal in Migrated GPR Data for Detection of Buried Target

5. Clutter Removal in Ground-Penetrating Radar Images Using Morphological Component Analysis

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