Development and Deployment of an Intelligent Kite Aerial Photography Platform (iKAPP) for Site Surveying and Image Acquisition
Development and Deployment of an Intelligent Kite Aerial Photography Platform (iKAPP) for Site Surveying and Image Acquisition
复制标题
用于现场测量和图像采集的智能风筝航空摄影平台（iKAPP）的开发和部署
DOI：
10.1002/rob.21448
复制
发表时间：
2013
影响因子：
8.3
通讯作者：
Murray J
中科院分区：
文献类型：
--
作者：
Murray J
航空照片和图像被各种行业使用，包括农业，园林绿化，测量和农业，以及学术研究人员，包括考古学家和地质学家。航空影像可以提供宝贵的资源，用于分析感兴趣的地点，并获得有关大面积土地的结构，布局和组成的信息，否则将无法获得。当前获取航空图像的方法依赖于诸如卫星图像、有人驾驶飞机或最近的无人机（UAV）和微型UAV技术等技术。这些解决方案虽然准确可靠，但有几个缺点。使用卫星图像或无人机可以证明是非常昂贵的，花费数万图像。它们也可能被证明是耗时的，并且在某些情况下对使用有限制，例如禁飞区。在本文中，我们提出了一种替代的低成本，通用的解决方案，这些方法，智能风筝航空摄影平台（iKAPP），用于获取航空图像和监测感兴趣的网站。我们展示了该系统如何提供应用的灵活性，并详细介绍了该系统的设计，机械操作和初始飞行实验，以实现低成本，轻量化，智能平台，能够获取高分辨率图像。最后，我们通过获取本地站点的图像来演示该系统，展示该系统的功能以及它可以捕获的图像质量。该系统的应用程序和它的能力方面的捕获率，图像质量，和限制。与传统的KAP系统相比，该系统提供了多项改进，包括机载“智能”处理和通信。该系统的智能方面源于使用相机的自图像稳定，其优点在于能够将系统配置为自动捕获现场的大区域，并且可以真实的时间看到现场采集，所有这些都是以前的AP方法所不可能的。© 2013 Wiley Periodicals，Inc.
Aerial photographs and images are used by a variety of industries, including farming, landscaping, surveying, and agriculture, as well as academic researchers including archaeologists and geologists. Aerial imagery can provide a valuable resource for analyzing sites of interest and gaining information about the structure, layout, and composition of large areas of land that would be unavailable otherwise. Current methods of acquiring aerial images rely on techniques such as satellite imagery, manned aircraft, or more recently unmanned aerial vehicles (UAVs) and micro‐UAV technologies. These solutions, while accurate and reliable, have several drawbacks. Using satellite imagery or UAVs can prove to be very expensive, costing tens of thousands for images. They can also prove to be time‐consuming and in some cases have constraints on use, such as no‐fly zones. In this paper, we present an alternative low‐cost, versatile solution to these methods, an intelligent kite aerial photography platform (iKAPP), for the purpose of acquiring aerial images and monitoring sites of interest. We show how this system provides flexibility in application, and we detail the system's design, mechanical operation, and initial flight experiments for a low‐cost, lightweight, intelligent platform capable of acquiring high‐resolution images. Finally, we demonstrate the system by acquiring images of a local site, showing how the system functions and the quality of images it can capture. The application of the system and its capabilities in terms of capture rates, image quality, and limitations are also presented. The system offers several improvements over traditional KAP systems, including onboard “intelligent” processing and communications. The intelligent aspect of this system stems from the use of self‐image stabilization of the camera, the advantage being that one is able to configure the system to capture large areas of a site automatically, and one can see the site acquisition in real time, all of which are not possible with previous methods of AP. © 2013 Wiley Periodicals, Inc.
DOI：
10.1109/coase.2007.4341813
发表时间：
2007
期刊：
2007 IEEE International Conference on Automation Science and Engineering
影响因子：
--
作者：
J. Murray;M. Neal;F. Labrosse
通讯作者：
F. Labrosse