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Multi-aspect data fusion applied to electromagnetic target classification using enetic algorithm
Date
2000-07-07
Author
Sayan, Gönül
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Electromagnetic target detection and classification is an important problem relevant not only to military applications but also to civilian use. In the problem of a breast tumor detection and identification [1], for instance, the main concern is accuracy. In the case of the recognition of a military target such as an aircraft or a ship, on the other hand, speed of classification is as important as the accuracy of the decision as such a decision should be made within a fraction of a second. For the K-pulse target identification technique used in this research, the K-pulse design phase is rather complicated and time consuming but the interactive decision process, that is the only phase of identification to be completed in real-time, is very simple and fast
Subject Keywords
K-pulse estİmatİon
,
Identİfİcatİon
URI
https://hdl.handle.net/11511/52914
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Department of Electrical and Electronics Engineering, Conference / Seminar
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G. Sayan, “Multi-aspect data fusion applied to electromagnetic target classification using enetic algorithm,” 2000, vol. 70, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52914.
