%T Particle Density Retrieval in Random Media Using a Percolation Model and a Particle Swarm Optimizer
%L elediasc12378
%I University of Trento
%A Anna Martini
%A Massimo Donelli
%A Massimo Franceschetti
%A Andrea Massa
%D 2011
%X This letter is a rst attempt to apply a percolation theory model to the estimation of the density of particles in complex layered two-dimensional media from electromagnetic measurements. A procedure based on an analytical closed-form description of the wave propagation process is presented. The problem is recast as an iterative optimization one and solved by means of a particle swarm optimizer. Numerical experiments show the validity of the proposed solution. (c) 2007 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
%K Percolation theory, Stratified random media, Particle Swarm Optimizers (PSOs), Remote sensing