• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

看得更远、更多:一种基于主从无人机的具有宽动态基线的合成孔径光学成像系统。

See farther and more: a master-slave UAVs based synthetic optical aperture imaging system with wide and dynamic baseline.

作者信息

Zhang Yijie, An Pei, Li Zhilong, Liu Qiong, Yang You

出版信息

Opt Express. 2024 Mar 25;32(7):11346-11362. doi: 10.1364/OE.520677.

DOI:10.1364/OE.520677
PMID:38570984
Abstract

An open challenge remained in designing an optical system to capture the aerial image with a wide field of view (FoV) and high resolution. The optical system of one camera from a single unmanned aerial vehicle (UAV) can hardly promise the FoV and resolution. The conventional swarm UAVs can form the camera array with a short or fixed baseline. They can capture the images with a wide FoV and high resolution, but the cost is the requirement of many UAVs. We aim to design a camera array with a wide and dynamic baseline to reduce the demand for UAVs to organize a synthetic optical aperture. In this thought, we propose a master-slave UAVs-based synthetic optical aperture imaging system with a wide and dynamic baseline. The system consists of one master UAV and multiple slave UAVs. Master and slave UAVs provide the global and local FoVs, respectively, and improve the efficiency of image acquisition. In such a system, fusing UAV images becomes a new challenge due to two factors: (i) the small FoV overlap of slave UAVs and (ii) the gap in resolution scale from slave to master UAV images. To deal with it, a coarse-to-fine stitching method is proposed to stitch up the multi-view images into one to obtain a wide FoV with high resolution. A video stabilization method has also been designed for the proposed imaging system. Challenges caused by wide and dynamic baselines can thus be solved by the above methods. Actual data experiments demonstrate that the proposed imaging system achieves high-quality imaging results.

摘要

设计一个光学系统以捕获具有宽视场(FoV)和高分辨率的航拍图像仍然是一个公开的挑战。来自单个无人机(UAV)的一台相机的光学系统很难保证视场和分辨率。传统的集群无人机可以形成具有短基线或固定基线的相机阵列。它们可以捕获具有宽视场和高分辨率的图像,但代价是需要许多无人机。我们的目标是设计一个具有宽动态基线的相机阵列,以减少对无人机组织合成孔径的需求。基于这种想法,我们提出了一种基于主从无人机的具有宽动态基线的合成孔径成像系统。该系统由一架主无人机和多架从无人机组成。主无人机和从无人机分别提供全局和局部视场,并提高图像采集效率。在这样的系统中,由于两个因素,融合无人机图像成为一个新的挑战:(i)从无人机的视场重叠小,(ii)从无人机图像到主无人机图像的分辨率尺度存在差距。为了解决这个问题,提出了一种从粗到细的拼接方法,将多视图图像拼接成一幅图像,以获得具有高分辨率的宽视场。还为所提出的成像系统设计了一种视频稳定方法。通过上述方法可以解决由宽动态基线引起的挑战。实际数据实验表明,所提出的成像系统取得了高质量的成像结果。

相似文献

1
See farther and more: a master-slave UAVs based synthetic optical aperture imaging system with wide and dynamic baseline.看得更远、更多:一种基于主从无人机的具有宽动态基线的合成孔径光学成像系统。
Opt Express. 2024 Mar 25;32(7):11346-11362. doi: 10.1364/OE.520677.
2
Monocular Vision System for Fixed Altitude Flight of Unmanned Aerial Vehicles.用于无人机固定高度飞行的单目视觉系统
Sensors (Basel). 2015 Jul 13;15(7):16848-65. doi: 10.3390/s150716848.
3
Design of Airborne Large Aperture Infrared Optical System Based on Monocentric Lens.基于单心透镜的机载大孔径红外光学系统设计。
Sensors (Basel). 2022 Dec 16;22(24):9907. doi: 10.3390/s22249907.
4
Visual image design of the internet of things based on AI intelligence.基于人工智能的物联网视觉图像设计
Heliyon. 2023 Nov 25;9(12):e22845. doi: 10.1016/j.heliyon.2023.e22845. eCollection 2023 Dec.
5
Blind UAV Images Deblurring Based on Discriminative Networks.基于判别网络的盲无人机图像去模糊
Sensors (Basel). 2018 Aug 31;18(9):2874. doi: 10.3390/s18092874.
6
Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors.多架无人机(UAV)协同故障检测,采用差分全球定位系统(DGPS)、惯性和视觉传感器。
Sensors (Basel). 2009;9(9):7566-79. doi: 10.3390/s90907566. Epub 2009 Sep 24.
7
Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV-Enabled Mobile Edge Computing.多无人机支持的移动边缘计算中大规模移动用户的联合部署与任务调度优化
IEEE Trans Cybern. 2020 Sep;50(9):3984-3997. doi: 10.1109/TCYB.2019.2935466. Epub 2019 Sep 11.
8
Reinforcement Learning Based Topology Control for UAV Networks.基于强化学习的无人机网络拓扑控制。
Sensors (Basel). 2023 Jan 13;23(2):921. doi: 10.3390/s23020921.
9
AVSS: Airborne Video Surveillance System.航空视频监控系统。
Sensors (Basel). 2018 Jun 14;18(6):1939. doi: 10.3390/s18061939.
10
Unmanned-aerial-vehicle based optical camera communication system using light-diffusing fiber and rolling-shutter image-sensor.基于光扩散光纤和卷帘式图像传感器的无人机光通信系统。
Opt Express. 2023 May 22;31(11):18670-18679. doi: 10.1364/OE.492547.