Recently, unmanned aerial vehicles (UAVs), also known as drones, have gained
widespread interest in civilian and military applications, which has led to the development of …

Detecting and clearing legacy landmines, Improvised Explosive Devices (IED), and
Unexploded Ordnances (UXO) using a force made up of humans or animals is extremely …

A few promising solutions for thermal imaging Unexploded Ordnance (UXO) detection were
proposed after the start of the military conflict in Ukraine in 2014. At the same time, most of …

We propose a magnetometer system fitted on an unmanned aerial vehicle (UAV, or drone)
and a data-processing method for detecting metal antipersonnel landmines (M16) in the …

Recent advances in unmanned-aerial-vehicle-(UAV-) based remote sensing utilizing
lightweight multispectral and thermal infrared sensors allow for rapid wide-area landmine …

Compared with traditional mine detection methods, UAV-based measures are more suitable
for the rapid detection of large areas of scatterable landmines, and a multispectral fusion …

Deep learning-based object detection in remote sensing images is an important yet
challenging task due to a series of difficulties, such as complex geometry scene, dense …

Mapping millions of buried landmines rapidly and removing them cost-effectively is
supremely important to avoid their potential risks and ease this labour-intensive task …

This paper presents a pioneering study in the application of real-time surface landmine
detection using a combination of robotics and deep learning. We introduce a novel system …

This paper presents methods for the modeling and simulation of explosive target placement
in terrain spectral images (ie, real hyperspectral 90-channel VNIR data), considering …