The ability to create three-dimensional (3-D) image models, using registered texel images (fused ladar and digital imagery), is an important topic in remote sensing. These models are automatically generated by matching multiple texel images into a single common reference frame. However, rendering a sequence of independently registered texel images often provides challenges. Although accurately registered, the model textures are often incorrectly overlapped and interwoven when using standard rendering techniques. Consequently, corrections must be done after all the primitives have been rendered by determining the best texture for any viewable fragment in the model. This paper describes a technique to visualize a 3-D model image created from a set of registered texel images. The visualization is determined for each viewpoint. It is, therefore, necessary to determine which textures are overlapping and how to best combine them dynamically during the rendering process. The best texture for a particular pixel can be defined using 3-D geometric criteria, in conjunction with a real-time, view-dependent ranking algorithm. As a result, overlapping texture fragments can now be hidden, exposed, or blended according to their computed measure of reliability. The advantages of this technique are illustrated using artificial and real data examples.