Support vector machines in remote sensing: A review
A wide range of methods for analysis of airborne-and satellite-derived imagery continues to
be proposed and assessed. In this paper, we review remote sensing implementations of …
be proposed and assessed. In this paper, we review remote sensing implementations of …
Learning-by-examples techniques as applied to electromagnetics
There is a wide number of problems in electromagnetic (EM) engineering that require a real-
time response or in which the input–output relationship is not a-priori known or cannot be …
time response or in which the input–output relationship is not a-priori known or cannot be …
[BOG][B] Ground penetrating radar theory and applications
HM Jol - 2008 - books.google.com
Ground-penetrating radar (GPR) is a rapidly develo** field that has seen tremendous
progress over the past 15 years. The development of GPR spans aspects of geophysical …
progress over the past 15 years. The development of GPR spans aspects of geophysical …
Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection
G Camps-Valls, L Gómez-Chova… - … on Geoscience and …, 2008 - ieeexplore.ieee.org
The multitemporal classification of remote sensing images is a challenging problem, in
which the efficient combination of different sources of information (eg, temporal, contextual …
which the efficient combination of different sources of information (eg, temporal, contextual …
An investigation of using the spectral characteristics from ground penetrating radar for landmine/clutter discrimination
Ground penetrating radar (GPR)-based discrimination of landmines from clutter is known to
be challenging due to the wide variability of possible clutter (eg, rocks, roots, and general …
be challenging due to the wide variability of possible clutter (eg, rocks, roots, and general …
Landmines ground-penetrating radar signal enhancement by digital filtering
D Potin, E Duflos, P Vanheeghe - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
Until now, humanitarian demining has been unable to provide a solution to the landmine
removal problem. Furthermore, new low-cost methods have to be developed quickly. While …
removal problem. Furthermore, new low-cost methods have to be developed quickly. While …
Semi-supervised novelty detection using SVM entire solution path
F De Morsier, D Tuia, M Borgeaud… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Very often, the only reliable information available to perform change detection is the
description of some “unchanged” regions. Since, sometimes, these regions do not contain …
description of some “unchanged” regions. Since, sometimes, these regions do not contain …
AI for ERW Detection in Clearance Operations--The State of Research
B Kischelewski, G Cathcart, D Wahl, B Guedj - arxiv preprint arxiv …, 2024 - arxiv.org
The clearance of explosive remnants of war (ERW) continues to be a predominantly manual
and high-risk process that can benefit from advances in technology to improve its efficiency …
and high-risk process that can benefit from advances in technology to improve its efficiency …
Recognizing subsurface target responses in ground penetrating radar data using convolutional neural networks
RT Sakaguchi, KD Morton Jr… - … and Sensing of …, 2015 - spiedigitallibrary.org
Improved performance in the discrimination of buried threats using Ground Penetrating
Radar (GPR) data has recently been achieved using features developed for applications in …
Radar (GPR) data has recently been achieved using features developed for applications in …
Particle filtering based approach for landmine detection using ground penetrating radar
In this paper, we present an online stochastic approach for landmine detection based on
ground penetrating radar (GPR) signals using sequential Monte Carlo (SMC) methods. The …
ground penetrating radar (GPR) signals using sequential Monte Carlo (SMC) methods. The …