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An evolutionary multi-agent system for object recognition in satellite images
Author(s)
Date Issued
2003
Publisher
IEEE Computer Society
Citation
2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings, 2003, Vol 1, pp. 520 - 527
Type
Conference Paper
Abstract
This paper proposes a new approach to combine the knowledge-based model and the cooperation technique of evolutionary agents to identify the location of the desired object in a satellite image. The agents interact with the local information of the image pixels to search for the target objects through an evolutionary process. A new set of fitness function and evolutionary operators are defined for the process. The decentralized, bottom-up and evolutionary natures of the agents can be used to construct a robust system for object recognition in satellite images. The experimental results are satisfactory and have demonstrated the flexibility and power of the approach. © 2003 IEEE.
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