This paper presents an application for classified image registration and fusion. We extend here results developed on a previous paper to multiview images. For seabed characterization, we need to fuse the multiview of sonar images to increase performances. However, before fusion, we have to proceed to an image registration. The proposed approach is based on the use of the conflict due to the combination as a disimilarity measure in the classified images registration. The theory of belief functions allows a suitable framework to model the imperfections and to fuse the classified images.