首页> 外文会议>Geoscience and Remote Sensing Symposium, 2008 IEEE International-IGARSS 2008 >Low-Cost Multispectral Aerial Imaging using Autonomous Runway-Free Small Flying Wing Vehicles
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Low-Cost Multispectral Aerial Imaging using Autonomous Runway-Free Small Flying Wing Vehicles

机译:使用无跑道小型飞行翼飞行器的低成本多光谱航空成像

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Aerial imaging has become very important to areas like remote sensing and surveying. However, it has remained expensive and difficult to obtain with high temporal and spatial resolutions. This paper presents a method to retrieve georeferenced aerial images by using a small UAV (unmanned aerial vehicle). Obtaining aerial images this way is inexpensive, easy-to-use and allows for high temporal and spatial resolutions. New and difficult problems are introduced by the small image footprint and the inherent errors from an inexpensive compact inertial measurement unit (IMU). The small image footprint prevents us from using the features from the images to help negate the errors from the IMU, which is done in conventional methods. Our method includes: using the data from the IMU to georeference the images, projecting the images on the earth and using a man-in-the-loop approach to minimize the error from the IMU. Sample results from our working system are presented for illustration.
机译:空中成像对遥感和测量等领域变得非常重要。然而,它保持昂贵且难以获得高的时间和空间分辨率。本文介绍了一种通过使用小无人机(无人驾驶飞行器)来检索地理学飞行图像的方法。获得这种方式的空中图像廉价,易于使用,允许高时的时间和空间分辨率。通过廉价的紧凑型惯性测量单元(IMU)的小图像占用和固有误差引入了新的和难题。小图像占用空间可防止我们使用图像的功能来帮助否定IMU的错误,这是在传统方法中完成的。我们的方法包括:使用IMU中的数据到地理调导图像,将图像投影在地球上并使用循环方法来最小化IMU的错误。我们的工作系统的示例结果显示为插图。

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