作者
Lavika Goel, VK Panchal, Daya Gupta
发表日期
2010/5
期刊
International Journal of Computer Science & Information Security
卷号
8
期号
2
页码范围
244-253
简介
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 paper 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 focussed 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 and hence can be adapted according to the application. The paper also presents a comparative study of the proposed classifier and the other recent soft computing classifiers such as ACO, Hybrid …
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