This paper presents an image fusion algorithm applicable to both visual simulations and materials classification. Natural colors are preserved enabling color matching between multi-resolution (example: Landsat 15m, IRS 5m, and QuickBird .6m fusions) and multi-image fusions (example: entire countries). The radiometry is preserved enabling the fused image to be used in materials classification. This approach is demonstrated on data gathered from various sensor platforms (satellite/aerial) and from various sensor types (electro-optical/radar). With the emergence of new high resolution data sources such as QuickBird and Ikonos, multi-resolution image fusions for visual simulations have grown in complexity. Visual simulators require fused data to seamlessly pan from 150 meters to under 1 meter. With the proposed algorithm, realistic color and texture map generation is not needed. They are inherent in the coarse resolution, multi-spectral, and high resolution, panchromatic, input sources providing natural geospecific terrain rendering.