Conception of the Sflavar Approach: Classification of Satellite Data

Abstract

Unsupervised classification is the search for homogeneous groups in a dataset. This problem is therefore of great complexity and the use of approximation algorithms is inevitable. In this regard, we will call upon a system resulting from a vision of collective intelligence inspired by the behavior of frogs as individuals seeking food, collaborating with each other to accomplish tasks that they cannot perform individually. As a measure of optimization we will make a change by integrating other variation operators. This will be applied to a LANDSAT5 TM (Thematic Mapper) satellite image of the ORAN region.