Multisensor data fusion is the process of combining observations from a number of different
sensors to provide a robust and complete description of an environment or process of …

Ground-penetrating radar (GPR) is a powerful and rapidly maturing technology for
subsurface threat identification. However, sophisticated processing of GPR data is …

An innovative inverse scattering (IS) technique for the simultaneous processing of
multifrequency (MF) ground-penetrating radar (GPR) measurements is proposed. The …

Near-surface applied electromagnetic geophysics is experiencing an explosive period of
growth with many innovative techniques and applications presently emergent and others …

Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …

In this paper, the quantitative imaging of the dielectric characteristics of unknown targets
buried in a lossy half-space is performed by suitably processing wide-band ground …

In many remote-sensing applications, measured data are a strong function of the
environment in which they are collected. This paper introduces a new context-dependent …

A microwave characterization technique to inspect subsurface scenarios is proposed and
numerically assessed in this paper. The approach is based on a combination of finite …

A hybrid inversion approach based on the quantum-behaved particle swarm optimization
(QPSO) method is presented in this article to solve electromagnetic inverse problems …

In classifier (or regression) fusion, the aim is to combine the outputs of several algorithms to
boost overall performance. Standard supervised fusion algorithms often require accurate …