• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEICE Transactions on Electronics >An Improved Non-uniformity Correction Algorithm for IRFPA Based on Neural Network
【24h】

An Improved Non-uniformity Correction Algorithm for IRFPA Based on Neural Network

机译：改进的基于神经网络的IRFPA非均匀性校正算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Aiming at traditional neural networks non-uniformity correction (NUC) algorithm's disadvantages such as slow convergence, low correction precision and difficulty to meet the real-time engineering application requirements of infrared imaging system, an improved NUC algorithm for infrared focal plane arrays (IRFPA) based on neural network is proposed. The algorithm is based on linear response of detector, and in order to realize fast and synchronization convergence of correction parameters the each original image data is normalized to a value close to one. Experimental results show the method has the faster convergence speed and better vision effect than the traditional algorithms, and it is better applied in practical projects.
机译：针对传统神经网络非均匀校正（NUC）算法收敛速度慢，校正精度低，难以满足红外成像系统实时工程应用需求等缺点，提出了一种改进的红外焦平面阵列NUC算法。提出了一种基于神经网络的方法。该算法基于检测器的线性响应，并且为了实现校正参数的快速和同步收敛，将每个原始图像数据归一化为接近一的值。实验结果表明，与传统算法相比，该方法收敛速度更快，视觉效果更好，在实际工程中得到了较好的应用。

著录项

  • 来源
    《IEICE Transactions on Electronics》 |2009年第5期|736-739|共4页
  • 作者

    Shao-sheng DAI; Tian-qi ZHANG;

  • 作者单位

    Institute of Signal Processing and SOC, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;

    Institute of Signal Processing and SOC, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号