Deep learning (DL) approaches have received extensive attention in plant growth
monitoring due to their ground-breaking performance in image classification; however, the …

Many fields of human activity benefit from the ability to create images of obscured objects
placed behind walls and to map their displacement in a noninvasive way. Usually, imaging …

This paper deals with the compensation of imaging errors in the field of landmine detection
with handheld devices, caused by the varying propagation behavior of electromagnetic …

SAR radar imaging methods are presented, which are able to treat highly refractive fibre
composite materials. The methods are based on a previous surface extraction and a …

In this paper, we present a novel two dimensional (2D) frequency-modulated continuous-
wave (FMCW) localization method for handheld systems based on the extraction of …

The convolutional neural networks are considered as the best artificial intelligence
algorithms for image classification problems. Generally, a ConvNet requires a very large …

The ground penetrating radar (GPR) is an important tool for detecting and defining buried
objects. One of the main problems facing this method is the high probability of false alarms …

In the scenario where the echo hyperbolas of different targets intersect or the opening
structure of the hyperbola is destroyed, the current B-scan image interpretation model has …

The artificial intelligence has been witnessing a monumental growth in bridging the gap
between the capabilities of humans and machines. The advancements in computer vision …

In this contribution, we present an overview and the latest research results regarding ground
penetrating radar operation for humanitarian demining in Colombia. Next to the description …