An Adaptive Deghosting Method in Neural Network-Based Infrared Detectors Nonuniformity Correction

An Adaptive Deghosting Method in Neural Network-Based Infrared Detectors Nonuniformity Correction

The problems of the neural network-based nonuniformity correction algorithm for infrared focal plane arrays mainly concern slow convergence speed and ghosting artifacts. In general, the more stringent the inhibition of ghosting, the slower the convergence speed. The factors that affect these two pro...

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Bibliographic Details
Main Authors: Yiyang Li, Weiqi Jin, Jin Zhu, Xu Zhang, Shuo Li
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Sensors
Subjects:
fixed pattern noise
nonuniformity correction
noise estimation
neural network
Online Access:http://www.mdpi.com/1424-8220/18/1/211

Internet

http://www.mdpi.com/1424-8220/18/1/211

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