GPR B-scan Data Classification through Deep Learning Approach-Reference-Cited by-同舟云学术

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GPR B-scan Data Classification through Deep Learning Approach

Published:2023-12-15 Issue: Volume: Page:100-104
ISSN:
Container-title:2023 9th International Conference on Big Data and Information Analytics (BigDIA)
language:
Short-container-title:

Author:

Zhang Yaohong¹,Xiao Kaiming¹,Liu Kehui²,Ge Bin¹,Chen Haiwen¹,Li Donghui³

Affiliation:

1. National University of Defense Technology,Laboratory for Big Data and Decision,Changsha,China

2. Beijing Academy of Science and Technology,Institute of Urban Systems Engineering,Beijing,China

3. Hunan Agricultural University,College of Information and Intelligence,Changsha,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10428932/10429051/10429577.pdf?arnumber=10429577

Reference16 articles.

1. Ellipse Inversion Model for Estimating the Orientation and Radius of Pipes From GPR Image

2. Efficient Detection of Buried Plastic Pipes by Combining GPR and Electric Field Methods

3. An Underground Pipeline Mapping Method Based on Fusion of Multisource Data

4. Probabilistic Mixture Model for Mapping the Underground Pipes

5. Underground Pipeline Mapping From Multipositional Data: Data Acquisition Platform and Pipeline Mapping Model

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