Separate removal of random noise and clutter in GPR images based on Self2Self and NSST-Reference-Cited by-同舟云学术

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Separate removal of random noise and clutter in GPR images based on Self2Self and NSST

Published:2022-05-03 Issue:9 Volume:43 Page:3490-3508
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

He Xingkun¹²,Li Yujin¹²,Wang Can¹²,Zheng Rongyao¹²,Li Xiwen¹²^ORCID

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2096420

Reference40 articles.

1. A Processing Framework for Tree-Root Reconstruction Using Ground-Penetrating Radar Under Heterogeneous Soil Conditions

2. MAP image reconstruction for landmine and IED detection using ground penetrating radar

3. GPR data analysis using multi-agent and clustering approaches: A tool for technical management of water supply systems

4. GPR signal de-noising by discrete wavelet transform

Cited by 2 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. Deep Learning for Improved Subsurface Imaging: Enhancing GPR Clutter Removal Performance Using Contextual Feature Fusion and Enhanced Spatial Attention;Remote Sensing;2023-03-23

2. A ground penetrating radar denoising method based on CEEMD and wavelet decomposition;2022-11-22

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