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首页 > 过刊浏览>2025年第46卷第2期 >1-11. DOI:10.12347/j.ycyk.20241014001
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空天异源图像匹配关键技术研究
作者:
作者单位:

1.航天时代飞鸿技术有限公司 北京 100094;2.北京理工大学机电学院 北京 100081;3.中国航天科技集团有限公司智能无人系统总体技术研发中心 北京 100094;4.中国航天科技集团有限公司第九研究院无人体系中心 北京 100094

作者简介:

刘庚辰 2000年生，硕士研究生。
吴国强 1984年生，博士研究生。
黄 坤 1990年生，硕士。
刘奇霏 2000年生，硕士研究生。
黄蜀玲 1986年生，博士。

中图分类号:

TP751


Research on the Key Techniques of Space-Sky Heterogeneous Image Matching
Author:
Affiliation:

1.Aerospace Times Feihong Technology Limited Company, Beijing 100094, China;2.School of Mechanical and Electrical Engineering, Beijing Institute of Technology, Beijing 100081, China;3.China Aerospace Science and Technology Corporation Limited Intelligent Unmanned System Overall Technology Research and Development Center, Beijing 100094, China;4.China Aerospace Science and Technology Corporation 9th Institute Unmanned System Center, Beijing 100094, China

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    摘要:

    空天异源图像匹配技术是无人机的重要研究方向之一。本文系统构建了空天异源图像匹配框架，并深度剖析了其关键组成部分。基于文献综述，本文将空天异源图像匹配框架的关键技术归纳为三大类：图像质量评价技术、图像预处理技术与图像匹配技术。本文对各类技术的最新进展做了总结概括，重点分析了各方法应用于无人机领域的技术差异。在此基础上结合数据集，进行交叉对比实验，对各方法的具体效果进行分析。最后，针对空天异源图像匹配所面临的难点作出总结，并对未来研究方向和发展趋势进行了展望。

    Abstract:

    Aerial-space image matching is one of the significant research directions of unmanned aerial vehicles. This paper systematically constructs a framework for matching heterogeneous aerial-space images and provides an in-depth analysis of its key components. Based on literature review, this paper categorizes the key technologies of the heterogeneous image matching framework into three major types: image quality assessment technology, image preprocessing technology, and image matching technology. It summarizes the latest advancements in each of these technologies, with a particular focus on analyzing the technical differences in their application to the UAV field. Based on this, cross-comparison experiments are conducted using datasets to analyze the specific effects of each method. Finally, the paper summarizes the challenges faced in matching heterogeneous aerial and space images and provides an outlook on future research directions and development trends.

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刘庚辰,吴国强,黄坤,刘奇霏,黄蜀玲.空天异源图像匹配关键技术研究[J].遥测遥控,2025,46(2):1-11.

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历史
  • 收稿日期:2024-10-14
  • 最后修改日期:2024-11-21
  • 在线发布日期: 2025-03-19
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