Various mine detection techniques are reviewed with particular emphasis on signal and
image processing methods. Based on the target, mines are classified into two types; anti …

In image restoration tasks, a heavy-tailed gradient distribution of natural images has been
extensively exploited as an image prior. Most image restoration algorithms impose a sparse …

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 …

The effectiveness of infrared thermography applied to the detection of abandoned land
mines is not yet acceptable. It can probably be improved, however, by computerized …

After a broad introductory discussion on the mine action problem, this paper presents the
status of close‐in mine detection technologies, including operational characteristics, without …

Applications using millimeter wave (mmW) and THz radiation have increased during the
past few years. One of the principal applications of these technologies is the detection and …

The Ground penetrating radar (GPR) and Infrared (IR) imaging have become two
established sensors for detecting buried anti-personnel mines (APM) which contain no or a …

Experiments on mine detec-tion with short range ground-based sensors (GPR, dynamic and
static IR imaging, US reflectometry) are reviewed. The emphasis is on the processing and …

This chapter introduces the application of infrared (IR) thermography in land mine detection.
IR thermography in general and for remotely detecting buried land mines in particular …

In this work we present a novel strategy for the simultaneous design and training of
multilayer discrete-time cellular neural networks. This methodology is applied to the …