A convolutional neural networks (CNN) model for predicting size of buried objects from
ground penetrating radar (GPR) B-Scans is proposed. As a pre-processing step, Sobel …

Reverse time migration (RTM) is the important intermediate step for focusing the radar
diffracted energy of the targets in ground penetrating radar imaging. The conventional RTM …

The existing studies were summarized by the state-of-the-art review of the basic principle of
ground-penetrating radar (GPR), GPR atlas characterization of underground road targets …

Velocity estimation is one of the most crucial tasks in ground-penetrating radar (GPR)
surveys. It is an integral part of GPR data analysis for interpreting GPR-generated images of …

Many studies have recently shown the potential of geophysical tools in bridging the
information gap between individual point-scale measurements. Here, we upscale and …

This study presents a framework to quantify changes in soil saturation in response to
flooding caused by extreme hydrologic perturbation on coastal ecosystems at the interfaces …

We investigate the landscape development of the early Mesolithic hunter-gatherer sites of
Duvensee (10000–6500 cal. BCE). Based on ground-penetrating radar (GPR) and …

This study explores the seismotectonics of Kachchh in western India, a region with a low-to-
moderate strain rate and a history of significant earthquakes, notably the 1819, Mw 7.8 Allah …

The accurate measurement of depth of buried objects using GPR with a common-offset
antenna (fixed distance between transmitter and receiver) requires two measurement …

Archaeological records documenting the timing and use of northern Great Barrier Reef
offshore islands by Aboriginal and Torres Strait Islander peoples throughout the Holocene …