Detecting Dim Small Targets in Image Sequences Based on Wavelet Transforms and Genetic Algorithms

LI Hong-yan; WU Cheng-ke

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Detecting Dim Small Targets in Image Sequences Based on Wavelet Transforms and Genetic Algorithms

更新时间：2025-07-16

- Detecting Dim Small Targets in Image Sequences Based on Wavelet Transforms and Genetic Algorithms
- Acta Electronica Sinica Vol. 29, Issue 4, Pages: 439-442(2001)
- 作者机构：
  
  1. 西安电子科技大学机电工程学院,西安,710071
  2. 西安电子科技大学综合业务网国家重点实验室,西安,710071
  3. 西安电子科技大学机电工程学院西安,710071
  4. 西安电子科技大学综合业务网国家重点实验室西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.73
- Published：2001
- 稿件说明：
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LI Hong-yan, WU Cheng-ke. Detecting Dim Small Targets in Image Sequences Based on Wavelet Transforms and Genetic Algorithms[J]. Acta Electronica Sinica, 2001, 29(4): 439-442.
DOI：

LI Hong-yan, WU Cheng-ke. Detecting Dim Small Targets in Image Sequences Based on Wavelet Transforms and Genetic Algorithms[J]. Acta Electronica Sinica, 2001, 29(4): 439-442. DOI：

摘要

本文提出了一种快速检测序列图像中低信噪比(＜2)小目标的算法.该算法采用小波滤波器对每帧图像滤波

提高目标的信噪比

剔除部分噪声点

降低了低信噪比小目标检测算法的运算量;设计了基于遗传算法的起始航迹搜索算法

有效地避免航迹的漏检;采用截断序贯似然比检验

形成确认航迹.仿真结果表明应用此算法

可快速实现信噪比小于2的小目标(2×2)的检测与跟踪.

Abstract

A fast algorithm is proposed for tracking low observable small targets in a digital image sequences.Wavelet transforms are used for image filterting to improve SNR.Tentative tracks are formed based on genetic algorithms which avoid target tracks missing.Coding and genetic operation are designed for this problem.Target trajectories are confirmed by truncated sequential probability ratio test.The simulation results show that it can efficiently detect and track small targets with size as small as 2×2 and SNR＜2.

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