HYBRID BIO-INSPIRED TECHNIQUES FOR LAND COVER FEATURES EXTRACTION - A REMOTE SENSING PERSPECTIVE

Abstract

Recent developments in applied and heuristic optimization methods used for feature extraction from satellite images have been strongly influenced and inspired by natural and biological system. The findings of recent studies are showing strong evidence to the fact that some aspects of biogeography can be adaptively applied to solve specific problems in science and engineering. This project presents a hybrid biologically inspired technique called the ACO2/PSO/BBO (Ant Colony Optimization2 / Particle Swarm Optimization / Biogeography Based Optimization) Technique that can be adapted according to the database of expert knowledge for a more focused Satellite Image Classification. The hybrid classifier explores the adaptive nature of Biogeography Based Optimization Technique and therefore is flexible enough to classify a particular land cover feature more efficiently than others based on the 7-band image data distribution and hence we term our classifier as the hybrid bio-inspire...