A neural network non-uniformity correction algorithm for IRFPA

Mengyu Zhu; Yuliang Yang

doi:10.1117/12.835354

5 August 2009 A neural network non-uniformity correction algorithm for IRFPA

Mengyu Zhu, Yuliang Yang

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73834A (2009) https://doi.org/10.1117/12.835354
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Mengyu Zhu and 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); https://doi.org/10.1117/12.835354

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available