Multi-population evolution strategies for structural image analysis

Abstract

To identify objects in aerial images, a special structural approach, based on a blackboard system, is used. The reference objects are described with generic models and a set of real-valued parameters. To adapt these parameters in an automatical way, a closed-loop system is proposed using multi-population evolution strategies with a special form of migration. The result of the parameter optimization is demonstrated with an example of identifying bridges in aerial images. By applying this closed-loop system, a reduction of computational effort was achieved.<>