TY - GEN
T1 - Improved neural networks based method for infrared focal plane arrays nonuniformity correction
AU - Tan, Dongjie
AU - Zhang, An
PY - 2012
Y1 - 2012
N2 - The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed pattern noise. In this study, an improved neural networks based method for nonuniformity correction (NUC) is presented. In the improved method, the correction process of neural networks is decomposed from one step to two steps to fine the correction results. Besides, it uses a local median value of each neuron's output as the desired output for each neuron. Experimental results show that the improved algorithm can eliminate fixed stripe noise and stochastic noise in raw images and make infrared images more slippery.
AB - The non-uniform response in infrared focal plane array (IRFPA) detectors produces corrupted images with a fixed pattern noise. In this study, an improved neural networks based method for nonuniformity correction (NUC) is presented. In the improved method, the correction process of neural networks is decomposed from one step to two steps to fine the correction results. Besides, it uses a local median value of each neuron's output as the desired output for each neuron. Experimental results show that the improved algorithm can eliminate fixed stripe noise and stochastic noise in raw images and make infrared images more slippery.
KW - infrared focal plane array
KW - neural networks
KW - nonuniformity correction
UR - http://www.scopus.com/inward/record.url?scp=84868245023&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33478-8_13
DO - 10.1007/978-3-642-33478-8_13
M3 - 会议稿件
AN - SCOPUS:84868245023
SN - 9783642334771
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 97
EP - 104
BT - Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings
T2 - 4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012
Y2 - 26 October 2012 through 28 October 2012
ER -