• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on Signal and Data Processing of Small Targets 2002, Apr 2-4, 2002, Orlando, USA >Detection of Small IR Objects Using Wavelets, Matched Subspace Detectors, and Registration
【24h】

Detection of Small IR Objects Using Wavelets, Matched Subspace Detectors, and Registration

机译：使用小波，匹配子空间检测器和配准检测小型红外物体

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

Infrared sensors and advanced signal processing are used to detect small (or "point") targets in highly cluttered and noisy environments. In this paper, a wavelet detection algorithm and tracking of small targets in clutter will be discussed. A new registration algorithm based on optical flow estimates with matched subspace detectors against small maneuverable targets is also discussed. Both detectors incorporate adaptive constant false alarm rate (CFAR) detection statistics. Simulation of the detection and tracking algorithms using an unclassified database with a helicopter target and platform for the video cameras is summarized.
机译：红外传感器和先进的信号处理技术可用于在高度混乱和嘈杂的环境中检测小型（或“点”）目标。在本文中，将讨论小波检测算法和杂波中小目标的跟踪。还讨论了一种基于光流量估计的新配准算法，该算法具有针对小型可操纵目标的匹配子空间检测器。两种检测器均包含自适应恒定误报率（CFAR）检测统计信息。总结了使用带有直升机目标和摄像机平台的未分类数据库对检测和跟踪算法的仿真。

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