Automatic detection of mud‐wall signatures in ground‐penetrating radar data-Reference-Cited by-同舟云学术

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Automatic detection of mud‐wall signatures in ground‐penetrating radar data

Published:2020-11-20 Issue:1 Volume:28 Page:89-106
ISSN:1075-2196
Container-title:Archaeological Prospection
language:en
Short-container-title:Archaeological Prospection

Author:

Bordón Pablo¹,Martinelli Patricia¹²,Zabala Medina Peter¹,Bonomo Néstor¹²^ORCID,Ratto Norma Rosa³

Affiliation:

1. Facultad de Ciencias Exactas y Naturales, Departamento de Física Universidad de Buenos Aires Buenos Aires Argentina

2. Instituto de Física de Buenos Aires (IFIBA) CONICET‐Universidad de Buenos Aires Buenos Aires Argentina

3. Instituto de las Culturas (IDECU) UBA‐CONICET, Facultad de Filosofía y Letras Universidad de Buenos Aires Buenos Aires Argentina

Funder

Consejo Nacional de Investigaciones Científicas y Técnicas

Agencia Nacional de Promoción Científica y Tecnológica

Publisher

Wiley

Subject

Archeology,History

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/arp.1799

Reference62 articles.

1. Alvarez J. K. &Kodagoda S.(2018).Application of deep learning image‐to‐image transformation networks to GPR radargrams for sub‐surface imaging in infrastructure monitoring.Proceedings of the 13th IEEE Conference on Industrial Electronics and Applications ICIEA 2018 611–616.

2. Ground-penetrating radar and electrical resistivity tomography studies in the biblical Pisidian Antioch city, southwest Anatolia

3. Pattern Recognition and Machine Learning

4. GPR prospecting in a prehispanic village, NW Argentina

5. Location and characterization of the Sancti Spiritus Fort from geophysical investigations

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