Modeling Buried Object Brightness and Visibility for Ground Penetrating Radar

Buried Object Discrimination in a Ground Penetrating Radar Radargram

ISSN 2277 – 503X | © 2013 Bonfring Abstract--Ground Penetrating Radar (GPR) is a nondestructive technique used for the location of objects or interfaces buried beneath the earth’s surface or located within a visually opaque structure. This research work proposes techniques for buried object discrimination for the images generated by GPR by using GPR frequency-domain spectral features. The motiv...

Ground-Penetrating Radar Antenna Modeling

-Detecting subsurface objects by using GroundPenetrating Radar (GPR) has received considerable interest in recent years. In order to interpret radar signals from buried objects, one must have the ability to model a large range of objects, grounds and radar antennas, theoretically or numerically, so that a real GPR system can be simulated. Many investigations have been done for modeling objects ...

Real-Time Vehicle-Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection

Detection of Shallowly Buried Landmines from Ground Penetrating Radar Signals

A method for detecting shallowly buried landmines using sequential GPR data is presented. After removing dominant coherent component of ground surface reflection from GPR data, three kinds of target features related to wave correlation, energy ratio, and signal arrival times are extracted. Since the detection problem treated here is reduced to a binary hypothesis test, an approach based on a li...

Buried object detection from B-scan ground penetrating radar data using Faster-RCNN

In this paper, we adapt the Faster-RCNN framework for the detection of underground buried objects (i.e. hyperbola reflections) in B-scan ground penetrating radar (GPR) images. Due to the lack of real data for training, we propose to incorporate more simulated radargrams generated from different configurations using the gprMax toolbox. Our designed CNN is first pre-trained on the grayscale Cifar...