Deep convolutional neural networks for classifying GPR B-scans

LE Besaw, PJ Stimac - Detection and sensing of mines …, 2015 - spiedigitallibrary.org
Symmetric and asymmetric buried explosive hazards (BEHs) present real, persistent, deadly
threats on the modern battlefield. Current approaches to mitigate these threats rely on highly …

Feature tracing in radio-echo sounding products of terrestrial ice sheets and planetary bodies

H Moqadam, O Eisen - EGUsphere, 2024 - egusphere.copernicus.org
Radio-echo sounding (RES) is a useful technique for measuring the subsurface properties
of ice sheets and glaciers. One of the most important and unique outcomes is the mapping of …

Deep learning algorithms for detecting explosive hazards in ground penetrating radar data

LE Besaw, PJ Stimac - Detection and Sensing of Mines …, 2014 - spiedigitallibrary.org
Buried explosive hazards (BEHs) have been, and continue to be, one of the most deadly
threats in modern conflicts. Current handheld sensors rely on a highly trained operator for …

Reciprocal pointer chains for identifying layer boundaries in ground-penetrating radar data

B Smock, J Wilson - 2012 IEEE International Geoscience and …, 2012 - ieeexplore.ieee.org
Identifying the ground surface in ground-penetrating radar (GPR) data is useful and can be
done efficiently and accurately using the Viterbi algorithm. This involves representing the …

Comparison of algorithms for finding the air-ground interface in ground penetrating radar signals

J Wood, J Bolton, G Casella, L Collins… - … and Sensing of …, 2011 - spiedigitallibrary.org
In using GPR images for landmine detection it is often useful to identify the air-ground
interface in the GPR signal for alignment purposes. A number of algorithms have been …

Efficient multiple layer boundary detection in ground-penetrating radar data using an extended Viterbi algorithm

B Smock, J Wilson - … and Sensing of Mines, Explosive Objects …, 2012 - spiedigitallibrary.org
In landmine detection using vehicle-mounted ground-penetrating radar (GPR) systems,
ground tracking has proven to be an eective pre-processing step. Identifying the ground can …

Modeling GPR data from lidar soil surface profile

B Burns, WW Clark, I McMichael - Detection and Sensing of …, 2012 - spiedigitallibrary.org
Ground Penetrating Radar (GPR) has been applied for several years to the problem of
detecting both anti-personnel and anti-tank landmines. One major challenge for reliable …

Extracting edge histogram detector features from ground penetrating radar data without ground alignment

J Wood, J Wilson, J Bolton - Detection and Sensing of Mines …, 2012 - spiedigitallibrary.org
When processing ground penetrating radar (GPR) data for the detection of subsurface
objects it is common to align the data based on the location of the air-ground interface in …

Improved landmine detection through context-dependent score calibration

B Smock, J Wilson, M Milner - Signal Processing, Sensor …, 2016 - spiedigitallibrary.org
Landmine detection methods face the challenging task of discriminating a wide variety of
targets in a diverse array of environmental conditions. As a result, successful approaches …

Trackerless Tracking: An Unsupervised, Fingerprint-Based Positioning Approach for Indoor and Outdoor Localization

DB Gonsalves - 2019 - search.proquest.com
This work presents a novel unsupervised, fingerprint-based localization method. The
approach differs from previous methods by operating offline, incorporates no dead …