  Remote sensing image processing is so important in geo-sciences. Images which
are obtained by different types of sensors might initially be unrecognizable.
To make an acceptable visual perception in the images, some pre-processing
steps (for removing noises and etc) are preformed which they affect the
analysis of images. There are different types of processing according to the
types of remote sensing images. The method that we are going to introduce in
this paper is to use virtual colors to colorize the gray-scale images of
satellite sensors. This approach helps us to have a better analysis on a sample
single-band image which has been taken by Landsat-8 (OLI) sensor (as a
multi-band sensor with natural color bands, its images' natural color can be
compared to synthetic color by our approach). A good feature of this method is
the original image reversibility in order to keep the suitable resolution of
output images.
