Robust obstacle reconstruction in an elastic medium
Abstract
We study the inverse problem of the reconstruction of an obstacle in an elastic media from boundary measurements. We assume that the data is noised and that a statistical model for the data is at hand. We propose and study a reconstruction algorithm based a weighted combination of the first two moments of the Kohn-Vogelius criterion. By numerical results in dimension two, the applicability and feasibility of our approach is demonstrated.
Origin : Files produced by the author(s)