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Proceedings Paper

Infrared small target detection in a wide field imaging system
Author(s): Jinyan Gao; Zaiping Lin; Wei An
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Paper Abstract

Small target detection in wide-area surveillance is a challenging task. Current imaging staring sensors in practical systems are characterized by large pixel counts and wide field of view (WFOV). Therefore, it is not suitable to detect targets simply via a single algorithm in different background types. We solve this problem by local windowing approach and take different background suppression and target enhancement methods for different surveillance scenarios. Monte Carlo simulations are provided and the experimental results demonstrate that we can effectively detect dim small targets with a very low false alarm rate and an acceptable detection rate in the proposed detection architecture.

Paper Details

Date Published:
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Proc. SPIE 10434, Electro-Optical Remote Sensing XI, ; doi: 10.1117/12.2278268
Show Author Affiliations
Jinyan Gao, National Univ. of Defense Technology (China)
Zaiping Lin, National Univ. of Defense Technology (China)
Wei An, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10434:
Electro-Optical Remote Sensing XI
Gary Kamerman; Ove Steinvall, Editor(s)

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