Abstract: A method and process is disclosed for computer processing and display of remote sensing, multispectral imagery for the purpose of identifying ground targets and classifying the imagery to create thematic maps. The successful application relies on the use of images from optimal bands; those bands include a near-infrared, mid-infrared, and visible band. The percentages of each of the three bands are plotted on a ternary diagram (34), which is used as a graphical device to allow target identification. Additionally, the ternary diagram feature space is segmented to define thematic classes and allow thematic classification with a computer. Vegetation (10) and mineral clusters (11) are separated easily. Further discrimination within the separate vegetation (10) and mineral (11) point clusters is possible. A spectral library (49), convolved to the bandwidth of the employed multispectral sensor bandpasses, and converted to ternary percentages, is utilized to locate specific spectral targets.