A GPR 2D Teager-Kaiser energy operator based on the multivariate variational mode decomposition-Reference-Cited by-同舟云学术

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A GPR 2D Teager-Kaiser energy operator based on the multivariate variational mode decomposition

Published:2022-12-15 Issue:1 Volume:14 Page:30-38
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhang Xuebing¹^ORCID,Qin Yuxiang¹^ORCID,Li Yaoyao¹,Feng Xuan²^ORCID,Li Bonan³,Hu Xin¹^ORCID,Song Zhengchun¹^ORCID

Affiliation:

1. School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun, China

2. College of Geo-Exploration Science and Technology, Jilin University, Changchun, China

3. College of Transportation Science & Engineering, Nanjing Tech University, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2022.2154178

Reference19 articles.

1. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

2. TU1208 Open Database of Radargrams: The Dataset of the IFSTTAR Geophysical Test Site

3. Variational Mode Decomposition

4. Single-channel and multi-channel orthogonal matching pursuit for seismic trace decomposition

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. Airborne Radio-Echo Sounding Data Denoising Using Particle Swarm Optimization and Multivariate Variational Mode Decomposition;Remote Sensing;2023-10-20

2. Extraction of the GPR instantaneous centroid frequency based on the envelope derivative operator and ICEEMDAN;Remote Sensing Letters;2023-05-04

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