GPR radargrams analysis through machine learning approach
Journal of Electromagnetic Waves and Applications, 2021This work proposes a Machine Learning (ML) approach for the analysis and classification of Ground Penetrating Radar (GPR) given a limited number of B-scan images.
Fabio Mangini +2 more
exaly +2 more sources
Automated Data Extraction from Synthetic and Real Radargrams of Complex Structures
ABSTRACT This paper presents a comparative study of two algorithms for detecting and analyzing the characteristic shapes of reflection obtained as a result of Ground-Penetrating Radar (GPR) scanning technology. The first algorithm is a sub-array processing method that uses direction-of-arrival algorithms and the matched filter ...
Bugarinovic, Z +6 more
openaire +3 more sources
A novel method for automatic clutter detection in radargrams acquired by orbiting radar sounders
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012Orbiting radar sounders are very important instruments that can probe the subsurface of planetary bodies from orbit. In particular, they produce vertical profiles revealing the geological structure of the subsurface. As a consequence of their nadir-looking acquisition geometry, radargrams may be affected by spurious off-nadir echoes due to surface ...
Lorenzo Bruzzone, Adamo Ferro
exaly +2 more sources
Multilayer simulations for accurate geological interpretations of SHARAD radargrams
Planetary and Space Science, 2011Abstract SHARAD (SHAllow RADar) is a nadir-looking Synthetic Aperture Ground Penetrating Radar on board NASA's 2005 Mars Reconnaissance Orbiter. There are three main characteristics that define the performance of this instrument: ground penetration (due to the operational frequency, the observed echoes can be related to reflections from surface or ...
P Perna
exaly +2 more sources
Synthetic radargrams from electrical conductivity and magnetic permeability variations
Journal of Applied Geophysics, 1996The objective of this work is to assess the importance of electrical conductivity and magnetic permeability variations in ground penetrating radar (GPR) reflections commonly interpreted only in terms of permittivity variations. We use the matrix propagator approach to obtain the surface electric field associated with a horizontally layered model whose ...
O Lázaro-Mancilla, E Gómez‐Trevino
exaly +2 more sources
Radar for Icy Moon Exploration (RIME) is designed to characterize the subsurface geology of the Jovian icy moons. The RIME radargrams will show the combined response of a number of geophysical and geological characteristics of the ice-shells of these moons.
Lorenzo Bruzzone, Sanchari Thakur
exaly +2 more sources
Depositional Architecture of Fluvial Deposits in the Resende Basin Identified With Radargrams (GPR)
12th International Congress of the Brazilian Geophysical Society & EXPOGEF, Rio de Janeiro, Brazil, 15–18 August 2011, 2011The knowledge of the depositional architecture of sedimentary rocks to create predictive models for exploration and exploitation of economic minerals as well as for environmental purposes is of paramount importance. Ground penetrating radar (GPR) method has been proven to be very effective to map quickly and cheaply shallow geological structures using ...
Rodrigo Pereira de Souza Cavalcante +3 more
exaly +2 more sources
Inferring Ice Fabric From Birefringence Loss in Airborne Radargrams: Application to the Eastern Shear Margin of Thwaites Glacier, West Antarctica [PDF]
In airborne radargrams, undulating periodic patterns in amplitude that overprint traditional radiostratigraphic layering are occasionally observed, however, they have yet to be analyzed from a geophysical or glaciological perspective. We present evidence
Tun Jan Young +2 more
exaly +7 more sources
Co-Registration Analysis of Coherent Multitemporal Radargrams
Radar Sounder data provide insights into subsurface geology and are typically analyzed using automatic techniques on single-pass acquisitions. A few preliminary studies have explored multitemporal RS data from the cryosphere.
Donini, Elena +3 more
openaire +3 more sources
Hybrid Deep Learning to Trace Snow Layers through Radargrams
Global warming is drastically reducing the polar ice caps and leading to sea level rise. Continuous monitoring and measurement of this reduction is imperative to estimate the resulting socio-economic damage that may affect human lives. Polar ice sheets are typically monitored through airborne radar sensors which give a two- dimensional image of the ...
Varshney, Debvrat
openaire +2 more sources

