Generative adversarial networks for ground penetrating radar in hand held explosive hazard detection
C Veal, J Dowdy, B Brockner… - … and sensing of …, 2018 - spiedigitallibrary.org
The identification followed by avoidance or removal of explosive hazards in past and/or
present conflict zones is a serious threat for both civilian and military personnel. This is a …
present conflict zones is a serious threat for both civilian and military personnel. This is a …
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar
Forward-looking ground-penetrating radar (FLGPR) has recently been investigated as a
remote-sensing modality for buried target detection (eg, landmines). In this context, raw …
remote-sensing modality for buried target detection (eg, landmines). In this context, raw …
Deep belief networks for false alarm rejection in forward-looking ground-penetrating radar
Explosive hazards are one of the most deadly threats in modern conflicts. The US Army is
interested in a reliable way to detect these hazards at range. A promising way of …
interested in a reliable way to detect these hazards at range. A promising way of …
Approach to explosive hazard detection using sensor fusion and multiple kernel learning with downward-looking GPR and EMI sensor data
This paper explores the effectiveness of an anomaly detection algorithm for downward-
looking ground penetrating radar (GPR) and electromagnetic inductance (EMI) data. Threat …
looking ground penetrating radar (GPR) and electromagnetic inductance (EMI) data. Threat …
Clutter and target discrimination in forward-looking ground penetrating radar using sparse structured basis pursuits
Forward-looking ground penetrating radar (FLGPR) is a remote sensing modality that has
recently been investigated for buried threat detection. FLGPR offers greater standoff than …
recently been investigated for buried threat detection. FLGPR offers greater standoff than …
An apodization approach for processing forward-looking GPR for buried target detection
A forward-looking and-moving ground-penetrating radar (GPR) acquires data that can be
used for buried target detection. As the platform moves forward the sensor can acquire and …
used for buried target detection. As the platform moves forward the sensor can acquire and …
Fusion of ieco image descriptors for buried explosive hazard detection in forward-looking infrared imagery
Data fusion is a powerful theory that often leads to significant performance gain and/or
improved robustness of a given solution. In this article, we explore how fusion can be used …
improved robustness of a given solution. In this article, we explore how fusion can be used …
Computational intelligence methods in forward-looking explosive hazard detection
This chapter discusses several methods for forward-looking (FL) explosive hazard detection
(EHD) using FL infrared (FLIR) and FL ground penetrating radar (FLGPR). The challenge in …
(EHD) using FL infrared (FLIR) and FL ground penetrating radar (FLGPR). The challenge in …
Fast Image Reconstruction in Forward-Looking GPR Using Dual Regularization
In the forward-looking ground-penetrating radar (GPR) imaging scenario, detection and
classification performance is limited due to inherent constraints placed on the sensor …
classification performance is limited due to inherent constraints placed on the sensor …
A feature learning approach for classifying buried threats in forward looking ground penetrating radar data
The forward-looking ground penetrating radar (FLGPR) is a remote sensing modality that
has recently been investigated for buried threat detection. The FLGPR considered in this …
has recently been investigated for buried threat detection. The FLGPR considered in this …