Joint Inversion of Electromagnetic and Acoustic Data with Spatial-Constrained by FCM

Abstract

Because of the strong nonlinearity of the electric strong scatterers, it often results in the reconstruction data ill-posed that just relying on electromagnetic (EM) inversion. In order to overcome this problem, this paper proposed a joint inversion method based on spatial-constraints which utilizes the advantages of acoustic inversion. In the inversion process, this method uses the reconstructed result of acoustic inversion as the spatial prior of the EM inversion, and then distinguish the background and the object domain through the fuzzy C-means (FCM) clustering method, reducing the electromagnetic inversion target area. Numerical simulations prove the efficiency and robustness of this method.