제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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- Pages.430-435
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- 1992
신경회로망을 이용한 표적의 자동인식 기법
Automatic target-recognition technique using a neural network
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Tahk, Min-Je
(Dept. of Aeronautical Engineering, KAIST)
;
- Rew, hyuk (Dept. of Aeronautical Engineering, KAIST) ;
- Yoo, Inn-Eark (Agency for Defence Development) ;
- Lee, Won-Sang (Agency for Defence Development)
- 발행 : 1992.10.01
초록
This paper presents a real-time algorithm for an infrared seeker to find the real target automatically against various background noises without changing the reticle configuration. The modeling technique of infrared sources and analysis results of the various source types based on the FFT algorithm are included. Futhermore, a neural network is used to recognize the source type using the results of FFT analysis. The evaluation of target recognition for cases which can happen in real situation is also treated.
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