حبیب رستمی

Processing of remote sensing images is vital in geosciences. Images that are obtained by different types of sensors might be unrecognizable initially or would not include useful information. To make a good visual perception of images, a series of preprocessing for removing noises and other corrections and to make a better analysis of main processes are required at first. There are different types of processing according to special remote sensing images. The method that we are going to introduce in this paper is the use of virtual colors to colorize the gray-scale images of satellite sensors that enables us to have a better analysis of a sample image which is taken by Landsat sensor. One of good features of this method is the original image reversibility that satisfies suitable resolution of output images. Some applications of these images are in geosciences, surveying, climate changes and etc.