This paper presents an efficient solution for automatic classification between the Anti-Tank
(AT) landmines signatures and standard hyperbolic signatures obtained from other objects …

Landmine detection plays a crucial role in saving the lives of soldiers, the public, and
animals. All countries have made great efforts to detect and prevent landmines from being …

Landmine removal is a basic issue looked by numerous nations around the globe, and the
circumstance can be intensified during cataclysmic events or land advancement. Along …

This article discusses the use of a deep learning neural network (DLNN) as a tool to improve
maritime safety by classifying the potential threat to shipping posed by unexploded …

In this paper, the primary objective is to develop a target classification algorithm based on
deep learning network for real time application, primarily for an automatic target recognition …

Abstract Ground Penetrating Radar (GPR) is widely used for non-destructive investigation of
the shallow subsurface exploration especially in locating the buried infrastructure such as …

In video surveillance, real-time detection of hidden or concealed objects under the clothes of
humans is a challenging task. Very few research works have been carried out on this hidden …

Exploration and detection of underground objects without excavation can be achieved by
utilizing ground penetrating radar. Since such an approach is nondestructive …

A solution for automatic detection and classification of buried objects by implementing Faster
Region Convolutional Neural Network (Faster R-CNN) with Ground Penetrating Radar …

Target detection and classification in the military is an area that is very significant in modern
battlefields. Using Synthetic Aperture Radar images for classifying targets adds to its …