The Artificial Bee Colony Algorithm for Unsupervised Classification of Meteorological Satellite Images

The processing of satellite images plays an important role. It uses different attributes of images, and multiple mathematical and physical tools. Among the techniques of image processing, there exists the unsupervised classification which is based on the combination of image pixels into categories or themes. The classification algorithm designed and implemented in this article says Artificial Bee Colony (ABC) is one of bio inspired algorithms, it is very simple and very flexible compared to existing algorithms bio-inspired, and it has the advantage of rapid convergence and reduced memory size. We will apply the ABC algorithm to achieve an unsupervised classification of the meteorological satellite images of the Météosat-9 satellite