Most algorithms commonly exploited for radar imaging are based on linear models that
describe only direct scattering events from the targets in the investigated scene. This …

The orthogonality sampling method (OSM) is a recently introduced qualitative inverse
scattering approach for the estimation of the morphological properties of unknown targets …

Based on the computational framework of physics-informed neural networks (PINNs), an
unsupervised deep learning method is developed for inverse problems, which features good …

In this article, an innovative approach to microwave imaging, which combines a qualitative
imaging technique and deep learning (DL), is presented. The goal is to develop a tool for …

This paper focuses on the use of Ground Penetrating Radar (GPR) in civil engineering.
Open issues in this field are identified and desirable advances in GPR technology …

Ground penetrating radars (GPRs) carried by mobile platforms, such as vehicles and
drones, have been applied in various applications, for instance, subsurface utility detection …

This chapter is devoted to the thriving field of deep learning enhanced medical microwave
imaging. Microwave imaging is a technology with applications in different fields involving the …

Accelerated loss of ice from Greenland and Antarctica has been observed in recent
decades. The melting of polar ice sheets and mountain glaciers has considerable influence …

A tremendous number of landmines has been buried during the last decade. In recent years,
various autonomous platforms equipped with ground-penetrating radars (GPRs) have been …

Time-lapse electrical resistivity tomography (ERT) is a popular geophysical method to
estimate three-dimensional (3D) permeability fields from electrical potential difference …