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Remote sensing imagery has relatively low spatial resolution. Since different materials/objects may be present in the area covered by a pixel, the pixel reflectance can be considered as the linear mixture of reflectance of these materials/objects (i.e., endmembers). Thus in remote sensing image processing we deal with mixed pixels instead of pure pixels as in traditional digital image processing. A multi-spectral or hyper-spectral image has tens to hundreds of spectral bands. How to display the plentiful information contained in such a 3D image cube is a challenging problem. In this paper, we will propose a visualization technique that employs two layers to integrate the mixture information (i.e., endmembers and their functional abundances) in each pixel With user-friendly interactive tools, images can be displayed at any desired level of details.