[1]张红辉,罗海波,余新荣,等. 改进的神经网络红外图像非均匀性校正方法[J].红外技术,2013,35(04):232-237.
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 改进的神经网络红外图像非均匀性校正方法
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年04期
页码:
232-237
栏目:
出版日期:
2013-04-20

文章信息/Info

文章编号:
1001-8891(2013)04-0232-06
作者:
张红辉12罗海波134余新荣5丁庆海6
 1.中国科学院沈阳自动化研究所;
2.中国科学院大学;
3.中国科学院光电信息处理重点实验室;
4.辽宁省图像理解与视觉计算重点实验室;
5.中航工业江西洪都航空工业集团有限责任公司;
6.空军装备研究院总体所
关键词:
 红外图像非均匀性校正神经网络自适应调节
分类号:
TN219
文献标志码:
A
摘要:
为解决传统基于神经网络的红外图像非均匀校正算法存在的目标模糊、拖影等问题,提出了一种增强型神经网络方法。该方法首先采用边缘保护滤波器得到期望值,以达到利用景像的边缘信息来指导校正系数更新的目的,在此基础上,通过自适应学习率以稳定和加速学习过程,实验结果表明,该方法解决了目标模糊和拖影问题,同时有效改善了非均匀性校正的效果和效率。

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备注/Memo

备注/Memo:
 收稿日期:2012-12-10 ;修订日期:2013-02-10 .
作者简介:张红辉(1978-),男,博士研究生,研究方向为图像处理与模式识别。
更新日期/Last Update: 2013-05-08