基于杂波抑制的海平线红外弱小目标检测

杨会玲; 吴玉宏; 孙慧婷; 杜博军; 何昕

doi:10.3788/YJYXS20173204.0316

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基于杂波抑制的海平线红外弱小目标检测

显示与图像 | 更新时间：2020-07-07

- 基于杂波抑制的海平线红外弱小目标检测
- Small dim infrared target detection of horizon region based on clutter rejection
- 液晶与显示 2017年32卷第4期页码：316-324
- 作者机构：
  
  1.苏州科技大学苏州市虚拟现实智能交互应用技术重点实验室, 江苏苏州 215000
  2.中国白城兵器试验中心, 吉林白城 137000
  3.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
  
  杨会玲 (1976-), 女, 河南开封人, 讲师, 硕士, 主要研究方向:光电测控技术与仪器。E-mail:wjyhl@126.com
- 基金信息：
  
  江苏省建设系统科技项目(No.2016ZD87);苏州市科技发展计划（重点实验室）项目(No.SZS201609);江苏省普通高校研究生科研创新计划项目(No.KYLX15_1311);苏州科技大学研究生创新项目(No.SKCX15_050);Supported by Science and Technolagy Project of Jiangsu Construction System(No.2016ZD87);Foundation of Key Laboratory in Science and Technology Development Project of Suzhou(No. SZS201609);Jiangsu Province Ordinary University Graduate Student Research Innovation Project(No.KYLX15_1311);Suzhou University of Science and Technology Innovation Project(No.SKCX15_050)
- DOI：10.3788/YJYXS20173204.0316
  中图分类号： TP394.1
- 收稿日期：2016-11-07，
  
  录用日期：2017-1-4，
  
  纸质出版日期：2017-04
- 稿件说明：
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杨会玲, 吴玉宏, 孙慧婷, 等. 基于杂波抑制的海平线红外弱小目标检测[J]. 液晶与显示, 2017,32(4):316-324.

Hui-ling YANG, Yu-hong WU, Hui-ting SUN, et al. Small dim infrared target detection of horizon region based on clutter rejection[J]. Chinese journal of liquid crystals and displays, 2017, 32(4): 316-324.
杨会玲, 吴玉宏, 孙慧婷, 等. 基于杂波抑制的海平线红外弱小目标检测[J]. 液晶与显示, 2017,32(4):316-324. DOI： 10.3788/YJYXS20173204.0316.

Hui-ling YANG, Yu-hong WU, Hui-ting SUN, et al. Small dim infrared target detection of horizon region based on clutter rejection[J]. Chinese journal of liquid crystals and displays, 2017, 32(4): 316-324. DOI： 10.3788/YJYXS20173204.0316.

摘要

针对红外图像中海天交接处目标能量较弱，难以获得精确检测的问题，本文提出一种基于杂波抑制的海平线弱小目标检测方法。该方法通过对红外图像特征分析，检测海平线像素特征，去除障碍物干扰，确定海平线区域；对海平线区域采用改进的均值差滤波与背景建模，去除海平线杂波；杂波滤除后，计算两个区间自适应阈值作为滞后阈值，从而检测出海平线弱小目标像素。实验结果表明，本文提出的算法能够有效去除海平线杂波，确定海平线区域，有效提取海平线像素，从而准确检测出海平线弱小目标，具有较高的检测率与较低的虚警率，验证了该算法的有效性。

Abstract

This paper proposed a method based on clutter rejection for small dim infrared target detection from horizon region. Firstly

the horizon pixels were detected by analyzing the features of infrared image and removing obstruction of islands

seaside or buildings

so as to determine the horizon region. Secondly

the horizon region was processed with improved mean subtraction filter and building background models to remove the horizon line clutter. Finally

it calculated the adaptive threshold of two region as the hysteresis threshold

so the dim target pixel could be determined. The experimental results show that the proposed method can effectively remove horizon line clutter to detect horizon pixels

and accurately detect the small dim infrared targets. It produces low false alarms and high detection rate

which validate the method.

关键词

Keywords

references

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