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An evolutionary multi-agent system for object recognition in satellite images

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3 Author(s)
Hoi Shun Miu ; Dept. of Comput. Sci. & Eng., Chinese Univ. of Hong Kong, China ; Kwong Sak Leung ; Kwong Sak Leung

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.

Published in:

Evolutionary Computation, 2003. CEC '03. The 2003 Congress on  (Volume:1 )

Date of Conference:

8-12 Dec. 2003

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