5 August 2009 A neural network non-uniformity correction algorithm for IRFPA
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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.
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Mengyu Zhu, Mengyu Zhu, Yuliang Yang, Yuliang Yang, } "A neural network non-uniformity correction algorithm for IRFPA", 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; https://doi.org/10.1117/12.835354

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