An integrated stochastic multi-scaling strategy for microwave imaging applications

This work presents an improved multi-scale algorithm for microwave imaging of two-dimensional scatterers. The proposed methodology includes a feedback between high-and low-resolution reconstructions in order to correlate the iterative reconstruction steps. Towards this end, the appealing features of a particle swarm-based algorithm are fully exploited. Such an integration is aimed at better matching a suitable representation of the unknowns with the global optimization properties of the stochastic optimizer to allow faithful reconstructions.