Evaluating Urbanization from Satellite and Aerial Images by means of a statistical approach to the texture analysis
This work addresses the need for automated urbanization assessment in remote sensing, but it appears incremental as it applies a simple statistical approach to a known problem.
The authors tackled the problem of evaluating urbanization from satellite and aerial images by distinguishing urban from rural textures using a statistical method based on mean values and standard deviations of pixel color tones, resulting in maps for quantitative texture evaluation.
Statistical methods are usually applied in the processing of digital images for the analysis of the textures displayed by them. Aiming to evaluate the urbanization of a given location from satellite or aerial images, here we consider a simple processing to distinguish in them the 'urban' from the 'rural' texture. The method is based on the mean values and the standard deviations of the colour tones of image pixels. The processing of the input images allows to obtain some maps from which a quantitative evaluation of the textures can be obtained.