Imaging Three-Dimensional Bodies by Processing Multi-Frequency Data Through a Multiscale Swarm Intelligence Based Method

This contribution is aimed at investigating the potentialities and current limitations of the multiscale particle swarm method when processing multi-frequency data scattered by three-dimensional structures. Such a global optimization approach demonstrated its effectiveness in solving complex two-dimensional imaging problems. Therefore, it has been suitably-modified for dealing with three-dimensional geometries and integrated into multi-frequency inversion schemes. Selected numerical results are shown in order to allow a preliminary evaluation of the reconstruction accuracy of the proposed implementations. This is the author's version of the final version available at IEEE.