首页 >

机载多孔径全景图像合成技术研究进展

吴付杰1,王博文2,齐静雅3,曹铭智1,桑英俊1,李晟1,张玉珍1,李林3,陈钱2,左超1   

  1. 1. 南京理工大学智能计算成像实验室
    2. 南京理工大学
    3. 北京控制工程研究所
  • 收稿日期:2024-04-10 修回日期:2024-07-09 出版日期:2024-07-12 发布日期:2024-07-12
  • 通讯作者: 王博文
  • 基金资助:
    国家自然科学基金;国家重点研发计划;江苏省基础研究计划前沿引领专项;江苏省科技计划重点国别产业技术研发合作项目;中央高校科研专项资助项目;江苏省光谱成像与智能感知重点实验室开放基金;光电测量与智能感知中关村开放实验室与北京控制工程研究所空间光电测量与感知实验室开放基金

A Review of Airborne Multi-aperture Panoramic Image Compositing

  • Received:2024-04-10 Revised:2024-07-09 Online:2024-07-12 Published:2024-07-12

摘要: 机载多孔径全景图像合成技术通过对多个子孔径或传感器的图像拼接合成,实现广域高分辨、高空间带宽图像重建,在国防安全、农林领域、数字监控等多个关键领域发挥着重要的作用。本文介绍了机载多孔径全景图像合成技术的发展背景,阐述了全景图像合成的基本概念和步骤,对其核心部分——图像配准技术和图像融合技术的分类和发展脉络进行梳理,并总结了目前主流方法的特点和局限性。最后结合目前机载多孔径全景图像合成技术的发展现状,揭示了机载多孔径全景图像合成技术的瓶颈问题,此外还展望了未来的研究方向以及解决这些问题可能的技术途径,为相关领域的技术进步和应用拓展提供了有益的启示。

关键词: 全景图像合成, 图像配准, 图像融合, 多孔径探测, 无人机遥感

Abstract: Airborne multi-aperture panoramic image compositing technology generates panoramic images with high resolution and rich details by stitching images from multiple sub-aperture or sensors, which plays an important role in many key fields such as national defense and security, agriculture and forestry, and digital surveillance. This paper introduces the development background of airborne multi-aperture panoramic image compositing technology, expounds the basic concepts and steps of panoramic image compositing, combs through the classification and development of its core parts - image registration technology and image fusion technology, and summarizes the characteristics and limitations of the current mainstream methods. Finally, combined with the current development status of air-borne multi-aperture panoramic image compositing technology, the bottleneck problem of airborne multi-aperture panoramic image compositing technology is revealed. In addition, the future research direction and possible technical ways to solve these problems are also prospected, which provides useful enlightenment for the technological progress and application expansion in related fields.

Key words: panoramic image compositing, image registration, image fusion, multi-aperture detection, UAV remote sensing

中图分类号: