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Proceedings Paper

A neural network non-uniformity correction algorithm for IRFPA
Author(s): Mengyu Zhu; Yuliang Yang
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Paper Abstract

This paper presents a new non-uniformity correction algorithm for Infrared Focal Plane Arrays. After some background on the research of non-uniformity correction, we highlight the adaptive scene-based techniques and algorithm proposed which attempt to realize the correction. In our algorithm, the compensation coefficients are adaptively adjusted with the artificial neural networks. After this algorithm was derived, we also analyzed the performance of algorithm under the real conditions. The result shows that our algorithm can effectly reduce the undesired fixed-pattern noise and compensated the time-vary coefficients.

Paper Details

Date Published: 5 August 2009
PDF: 9 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73834A (5 August 2009); doi: 10.1117/12.835354
Show Author Affiliations
Mengyu Zhu, Beijing Institute of Technology (China)
Yuliang Yang, Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications
Jeffery Puschell; Hai-mei Gong; Yi Cai; Jin Lu; Jin-dong Fei, Editor(s)

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