Improved neural networks based method for infrared focal plane arrays nonuniformity correction

Dongjie Tan, An Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名Artificial Intelligence and Computational Intelligence - 4th International Conference, AICI 2012, Proceedings
97-104
页数8
DOI
出版状态已出版 - 2012
活动4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012 - Chengdu, 中国
期限: 26 10月 201228 10月 2012

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7530 LNAI
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012
国家/地区中国
Chengdu
时期26/10/1228/10/12

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