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
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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-lo...
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