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Detecting dim point target in infrared image sequences using probalilistic neural network

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3 Author(s)
Haixin Chen ; Dept. of Electron. Eng., Nat. Univ. of Defense Technol., Hunan, China ; Zhenkang Shen ; Huihuang Chen

In spite of many advances of IR imaging technology that have been achieved, the detection of dim point target from infrared clutter backgrounds still remains a key problem in real-time IR system. We present a new detection scheme based on a linear detector and an improved probabilistic neural network classifier for small SNR, moving point targets detection in strong infrared noise and clutter backgrounds. Computer simulation was conducted, and simulation results confirmed the validity of the detection scheme

Published in:

Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National

Date of Conference:

23-27 May 1994