Hyperbola Detection with RetinaNet and Comparison of Hyperbola Fitting Methods in GPR Data from an Archaeological Site

Hyperbolic diffractions in Ground Penetrating Radar (GPR) data are caused by a variety of subsurface objects such as pipes, stones, or archaeological artifacts. Supplementary to their location, the propagation velocity of electromagnetic waves in the subsurface can be derived. In recent years, it wa...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Remote sensing (Basel, Switzerland) Ročník 14; číslo 15; s. 3665
Hlavní autoři:	Wunderlich, Tina, Wilken, Dennis, Majchczack, Bente Sven, Segschneider, Martin, Rabbel, Wolfgang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.08.2022
Témata:	Algorithms Archaeology Clustering data collection Deep learning Diffraction Electromagnetic radiation GPR Ground penetrating radar Historic buildings & sites hyperbola Hyperbolas infrastructure Machine learning Medieval period Neural networks object detection Propagation Propagation velocity Remote sensing Underground structures Velocity velocity determination Velocity errors Wave propagation
ISSN:	2072-4292, 2072-4292
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!