Abstract
An algorithm of displaying an image of remotelysensed data with restricted colors has been developed. First, peaks over 256 in three-dimensional histogram space of three channel data are detected, which seem to represent characteristics of the image. Next, the 256 peaks, which correspond to the same numbers of colors in RGB space, are selected among those by the present algorithm. Each pixel in an image is assigned to the nearest neighbor among the 256 colors in Euclid metric. The comparison are shown with the conventional MCA (Median Cut Algorithm) and PA (Popularity Algorithm) methods by using SPOT HRV/XS data. Finally, the recomposed image with 256 colors by the present algorithm maintains the quality of the original data. This is also quantitatively shown in quantum error analysis.
