The Techniques of Suppressing UCN-Sequence

LI Jin-zong; WEI Xiang-quan; LI Ning-ning; WANG Song

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The Techniques of Suppressing UCN-Sequence

更新时间：2025-07-16

- The Techniques of Suppressing UCN-Sequence
- Acta Electronica Sinica Vol. 31, Issue 7, Pages: 985-989(2003)
- 作者机构：
  
  1. 哈尔滨工业大学电子与通信工程系,黑龙江,哈尔滨,150001
  2. 北京空间飞行器总体设计部,北京,100087
  3. 哈尔滨工业大学电子与通信工程系黑龙江哈尔滨,150001
  4. 北京空间飞行器总体设计部北京,100087
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.7
- Published：2003
- 稿件说明：
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LI Jin-zong, WEI Xiang-quan, LI Ning-ning, et al. The Techniques of Suppressing UCN-Sequence[J]. Acta Electronica Sinica, 2003, 31(7): 985-989.
DOI：

LI Jin-zong, WEI Xiang-quan, LI Ning-ning, et al. The Techniques of Suppressing UCN-Sequence[J]. Acta Electronica Sinica, 2003, 31(7): 985-989. DOI：

摘要

为了从低信噪比图像序列中检测出亚像元目标、点目标和少像元目标

本文提出一种通过单帧自适应门限检测和多帧高阶互相关技术来抑制UCN序列的新方法.本方法可以大大压缩候选目标轨迹数目和数据处理量

且对红外、可见光等不同种类图像序列兼容.文中给出了各项操作的理论分析

实验结果证实了理论分析的正确性和算法的可行性.对单帧信噪比为1.5~0.5的图像序列

经过单帧自适应门限检测和两次高阶互相关处理后

剩余非零点数只有0.03~14.59%

噪声抑制率为99.97~85.41%.

Abstract

In order to detect the subpixel-

point- and a few pixel targets from low SNR image sequence

this paper presents a new approach which can greatly suppress UCN-sequence through adaptive threshold detection in single frame and high order cross-correlation with multiple frames.The number of candidate target trajectories and the quantity of data processing are greatly compressed by using the approach

and the approach is compatible with infrared- and television image sequences.The theoretical analyses of various kinds of operations are expounded in the paper.The experimental results have proved the correctness of theoretical analyses and the feasibility of the optimal algorithms.For the image sequences with SNR 1.5~0.5

after adaptive threshold detection in single frame and twice high order cross-correlation

the nonzero points left are only 0.03~14.59%

and the noise rejection rate is 99.97~85.41%.

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