Simultaneous buried object detection and imaging technique utilizing fuzzy weighted background calculation and target energy moments on ground penetrating radar data

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

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...

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...

Fusion of forward-looking infrared camera and down-looking ground penetrating radar for buried target detection

In this paper, we propose a system to detect buried disk-shaped landmines from ground penetrating radar (GPR) and forward-looking long wave infrared (FL-LWIR) data. The data is collected from a test area of 500m 2 , which was prepared at the IPA Defence, Ankara, Turkey. This test area was divided into four lanes, each of size 25m length by 4m width and 1m depth. Each lane was first carefully cl...

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...