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弹箭与制导学报 >

2021 , Vol. 41 >Issue 3: 67 - 75

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.03.015

多源末制导弹载融合图像目标检测研究进展

  • 薛松 1, 2 ,
  • 钱立志 2 ,
  • 张航 3 ,
  • 杨传栋 3
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  • 1 陆军炮兵防空兵学院兵器工程系,合肥 230031
  • 2 陆军炮兵防空兵学院高过载弹药制导控制与信息感知实验室,合肥 230031
  • 3 陆军炮兵防空兵学院研究生队,合肥 230031

薛松(1989—),男,陕西韩城人,讲师,博士研究生,研究方向:信息化弹药运用、图像智能化处理。

收稿日期: 2020-07-15

  网络出版日期: 2025-02-20

基金资助

国防装备预先研究项目资助

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Review of Key Technologies for Target Detection of Multi-source Terminal Missile-based Fusion Image

  • XUE Song 1, 2 ,
  • QIAN Lizhi 2 ,
  • ZHANG Hang 3 ,
  • YANG Chuandong 3
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  • 1 Department of Weapons Engineering,Army Academy of Artillery and Air Defense,Hefei 230031, China
  • 2 High Overload Ammunition Guidance Control and Information Perception Laboratory,Army Academy of Artillery and Air Defense,Hefei 230031, China
  • 3 Postgraduate Team,Army Academy of Artillery and Air Defense,Hefei 230031, China

Received date: 2020-07-15

  Online published: 2025-02-20

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摘要

多源末制导弹载图像可利用多传感器图像信息生成细节丰富且目标清晰的融合图像,提高后续目标检测的识别率,图像的目标检测又可为后续精确打击提供目标指引。文章综述了国内外多源图像融合及目标检测的研究发展现状,分析了经典的图像融合方法和目标检测理论框架,并对现有的弹载图像融合方法和目标检测方法进行分析,最后对未来研究的提升空间和发展趋势进行展望。

关键词： 图像末制导; 弹载图像; 图像融合; 目标检测

本文引用格式

薛松 , 钱立志 , 张航 , 杨传栋 . 多源末制导弹载融合图像目标检测研究进展[J]. 弹箭与制导学报, 2021 , 41(3) : 67 -75 . DOI: 10.15892/j.cnki.djzdxb.2021.03.015

Abstract

Multi-source terminal missile-based image can use multi-sensor image information to generate fusion image with rich details and clear target, improve the recognition rate of subsequent target detection, and the target detection of image can provide target guidance for subsequent precision attack. Based on the project, this paper summarizes the research and development status of multi-source image fusion and target detection at home and abroad, and analyzes the classical image fusion method target detection theoretical framework. Then the existing missile-based image fusion method and target detection method were analyzed. Finally the future research space and development trend were prospected.

Key words： image terminal guidance; missile-based fusion image; image fusion; target detection

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