Deep learning for Ground Penetration Radar Reflection Images in Civil Structures Investigation-Reference-Cited by-同舟云学术

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Deep learning for Ground Penetration Radar Reflection Images in Civil Structures Investigation

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology (ICARES)
language:
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Author:

Dinanta Galih Prasetya¹,Fernando Doni²,Setyaningrum Nugraheni³,Meliani Fanny³,Widodo Joko³,Setiyoko Andie³,Arief Rahmat³

Affiliation:

1. Research Center for Remote Sensing. The National Research and Innovation Agency,Jakarta

2. Research Center for Geospatial The National Research and Innovation Agency,Jakarta

3. Research Center for Remote Sensing The National Research and Innovation Agency,Jakarta

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9993425/9992293/09993511.pdf?arnumber=9993511

Reference51 articles.

1. Investigations of geoelectrical signatures at a hydrocarbon contaminated site

2. Evaluating LNAPL contamination using GPR signal attenuation analysis and dielectric property measurements: Practical implications for hydrological studies

3. Concrete Bridge Deck Deterioration Assessment Using Ground Penetrating Radar (GPR)

4. Detecting subsurface contamination using ground penetrating radar and amplitude variation with offset analysis

5. Discovery of a 1st Century AD Roman Amphitheater and Other Structures at the Forum Novum by GPR

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