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弹箭与制导学报 >

2013 , Vol. 33 >Issue 4: 25 - 28

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2013.04.011

导弹与制导技术

基于红外小目标图像库的特征识别探测研究

  • 陈晓斯 ,
  • 樊祥 ,
  • 程正东 ,
  • 朱斌 ,
  • 方义强
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  • 1 脉冲功率激光技术国家重点实验室,合肥 230037
    2 解放军电子工程学院,合肥 230037

陈晓斯(1988-),男,福建泉州人,硕士,研究方向:红外小目标探测和图像处理。

收稿日期: 2012-11-08

  网络出版日期: 2025-05-26

基金资助

安徽省自然科学基金

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The Analysis of Recognition and Detection Based on the Character of Small Infrared Target Image Library

  • CHEN Xiaosi ,
  • FAN Xiang ,
  • CHENG Zhengdong ,
  • ZHU Bin ,
  • FANG Yiqiang
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  • 1 State Key Laboratory of Pulsed Power Laser Technology, Hefei 230037, China
    2 Electronical Engineering Institute of PLA, Hefei 230037, China

Received date: 2012-11-08

  Online published: 2025-05-26

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摘要

为了进一步提高红外小目标的识别概率,利用主分量分析法提取了小目标红外图像的主分量特征用于识别探测。在具体计算时,分析了红外小目标图像的一般特征,并建立了图像库作为训练样本。最后对训练样本进行了灰度峰值分类,并选取不同数量的小目标图像进行实验。结果表明,目标在红外图像上呈现的灰度峰值大小几乎不影响小目标的识别,而随着训练样本数的增加,识别效果越好。

关键词： 红外小目标识别; 主分量分析; 特征提取; 分类

本文引用格式

陈晓斯 , 樊祥 , 程正东 , 朱斌 , 方义强 . 基于红外小目标图像库的特征识别探测研究[J]. 弹箭与制导学报, 2013 , 33(4) : 25 -28 . DOI: 10.15892/j.cnki.djzdxb.2013.04.011

Abstract

In order to increase the recognition rate of small infrared target tracking, the principal component character of the infrared small target was extracted based on PCA for recognition detection. In exact calculation, the infrared image characters of small target were analyzed and formed an image library as test sample. Finally, the small infrared target images were classified based on the gray peak value, and experiment was conducted with different amount of training sample images. The results show that the gray peak value of small infrared target image makes no difference in small target recognition. The more sample image is, the better recognition performance has.

Key words： small infrared target recognition; principal component analysis; character extraction; classify

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参考文献

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