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首页> 外文期刊>ISPRS International Journal of Geo-Information >Integrated UAV-Based Real-Time Mapping for Security Applications
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Integrated UAV-Based Real-Time Mapping for Security Applications

机译:基于UAV的集成实时地图,适用于安全应用

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Security applications such as management of natural disasters and man-made incidents crucially depend on the rapid availability of a situation picture of the affected area. UAV-based remote sensing systems may constitute an essential tool for capturing aerial imagery in such scenarios. While several commercial UAV solutions already provide acquisition of high quality photos or real-time video transmission via radio link, generating instant high-resolution aerial maps is still an open challenge. For this purpose, the article presents a real-time processing tool chain, enabling generation of interactive aerial maps during flight. Key element of this tool chain is the combination of the Terrain Aware Image Clipping (TAC) algorithm and 12-bit JPEG compression. As a result, the data size of a common scenery can be reduced to approximately 0.4% of the original size, while preserving full geometric and radiometric resolution. Particular attention was paid to minimize computational costs to reduce hardware requirements. The full workflow was demonstrated using the DLR Modular Airborne Camera System (MACS) operated on a conventional aircraft. In combination with a commercial radio link, the latency between image acquisition and visualization in the ground station was about 2 s. In addition, the integration of a miniaturized version of the camera system into a small fixed-wing UAV is presented. It is shown that the described workflow is efficient enough to instantly generate image maps even on small UAV hardware. Using a radio link, these maps can be broadcasted to on-site operation centers and are immediately available to the end-users.
机译:安全应用程序(例如自然灾害和人为事件的管理)在很大程度上取决于能否迅速获得受影响区域的情况图片。在这种情况下,基于无人机的遥感系统可能构成捕获航空影像的重要工具。尽管已经有几种商用无人机解决方案可以通过无线电链路获取高质量的照片或实时视频传输,但是生成即时的高分辨率航图仍然是一个开放的挑战。为此,本文提出了一种实时处理工具链,可在飞行过程中生成交互式航图。该工具链的关键要素是Terrain Aware Image Clipping(TAC)算法和12位JPEG压缩的结合。结果,可以将常见风景的数据大小减小到原始大小的约0.4%,同时保留完整的几何和辐射分辨率。特别注意最小化计算成本以减少硬件需求。使用在常规飞机上运行的DLR模块化机载相机系统(MACS)演示了完整的工作流程。结合商用无线电链路,地面站中图像采集和可视化之间的等待时间约为2 s。此外,还介绍了将摄像机系统的小型化版本集成到小型固定翼无人机中的方法。结果表明,即使在小型UAV硬件上,所描述的工作流程也足以高效地即时生成图像地图。使用无线电链路,这些地图可以广播到现场操作中心,并可供最终用户立即使用。

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