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Proceedings Paper

Detecting dim point target in infrared image sequences using probabilistic neural network
Author(s): Haixin Chen; Zhenkang Shen; Huihuang Chen
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Paper Abstract

In spite of many advances of IR imaging technology that have been achieved, the detection of dim point targets from IR clutter backgrounds still remains a key problem in real-time IR systems. 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 IR noise and clutter backgrounds. Computer simulation was conducted and simulation results confirmed the validity of the detection scheme.

Paper Details

Date Published: 1 March 1994
PDF: 5 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169438
Show Author Affiliations
Haixin Chen, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)
Huihuang Chen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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