BLIND SHAPE RECONSTRUCTION FROM EXPERIMENTAL-DATA

A method for reconstructing the shape of a bounded impenetrable object from measured scattered field data is presented. The reconstruction a lgorithm is, in principle, the same as that used before for reconstruc ting the conductivity of a penetrable object and uses the fact that fo r high conductivity the skin depth of the scatterer is small, in which case the only meaningful information produced by the algorithm is the boundary of the scatterer. A striking increase in efficiency is achie ved by incorporating into the algorithm the fact that for large conduc tivity, the contrast is dominated by a large positive imaginary part. This fact together with the knowledge that the scatterer is constraine d in some test domain constitute the only a priori information about t he scatterer that is used. There are no other implicit assumptions abo ut the location, connectivity, convexity, or boundary conditions. The method is shown to successfully reconstruct the shape of an object fro m experimental scattered field data in a ''blind'' test.