Low-Cost Multispectral Aerial Imaging using Autonomous Runway-Free Small Flying Wing Vehicles

A. Jensen, Marc Baumann, Y. Chen
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引用次数: 45

Abstract

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.
使用自主无跑道小型飞翼飞行器的低成本多光谱航空成像
航空成像在遥感和测量等领域变得非常重要。然而,在高时间和空间分辨率下,它仍然是昂贵和难以获得的。本文提出了一种利用小型无人机(UAV)检索地理参考航空图像的方法。以这种方式获得航空图像价格低廉,易于使用,并允许高时间和空间分辨率。小型廉价惯性测量单元(IMU)的图像占用空间小和固有误差带来了新的和困难的问题。较小的图像占用使我们无法使用图像中的特征来帮助消除IMU的误差,而传统方法是这样做的。我们的方法包括:利用IMU的数据对图像进行地理参考,将图像投影到地球上,并使用人在环方法最小化IMU的误差。给出了我们工作系统的示例结果以作说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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