Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7629
Title: | An evolutionary multi-agent system for object recognition in satellite images |
Authors: | Miu, Hoi Shun Prof. LEUNG Kwong Sak Leung, Yee |
Issue Date: | 2003 |
Publisher: | IEEE Computer Society |
Source: | 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings, 2003, Vol 1, pp. 520 - 527 |
Journal: | 2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings |
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. |
Type: | Conference Paper |
URI: | http://hdl.handle.net/20.500.11861/7629 |
DOI: | 10.1109/CEC.2003.1299620 |
Appears in Collections: | Publication |
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