• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Detection probability using relative clutter in infrared images
【24h】

Detection probability using relative clutter in infrared images

机译：使用相对杂波的红外图像检测概率

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

Clutter plays a very important role in the area of machine and human-in-the-loop target acquisition. A great deal of interest has recently been shown in assessing several different definitions of clutter. In spite of so many definitions available, no single clutter definition has been agreed on by the target acquisition modeling community as being the best. Here we develop a new clutter metric, called relative clutter, based on factor analysis which is extensively used for statistical analysis. This relative clutter combines many definitions of clutter. Different methods for calculating the relative clutter based on the magnitude of the eigenvalues obtained from the correlation matrix are suggested. The relative clutter of many images is analyzed. The relative clutter is used to calculate probability of detection on Night Vision Lab (NVL) Terrain Board Infrared images
机译：杂波在机器和人在环目标捕获领域起着非常重要的作用。最近，在评估杂波的几种不同定义时表现出了极大的兴趣。尽管有太多可用的定义，但目标采集建模社区尚未就最佳的定义达成一致。在这里，我们基于因子分析开发了一种称为相对杂波的新杂波度量标准，该度量被广泛用于统计分析。这种相对杂波结合了杂波的许多定义。提出了基于从相关矩阵获得的特征值的大小来计算相对杂波的不同方法。分析了许多图像的相对杂波。相对杂波用于计算夜视实验室（NVL）地形板红外图像上的检测概率

著录项

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