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Aerial mapping using autonomous fixed-wing unmanned aerial vehicle

机译:使用自主固定翼无人机进行空中测绘

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摘要

This paper demonstrates the performance of a fixed-wing unmanned aerial vehicle in mapping semi-undulated area. Current practices incur huge cost and time consuming. The aim of this study is to evaluate photogrammetric technique for mapping slope. Fixed-wing unmanned aerial vehicle (UAV) was employed as a tool for image acquisition at the height of 300m. This unit is a complete package that includes low cost digital camera, autonomous chip, global positioning system (GPS), gyro and electronic speed controller. This study was conducted at Skudai, Johor, which is located approximately at latitude 1°33'24.49"N and longitude 103°39'4.30?E. All the acquired images were processed using photogrammetric technique which comprise of aerial triangulation and bundle adjustment. There are two main photogrammetric products produced from this study known as digital orthophoto and digital elevation model (DEM). Both products were analyzed to determine accuracy of the results. Ground control points and check points were distributed randomly at the study area and all the points were established using GPS Real Time Kinematic (RTK) technique. Based on the results, it was found that root mean square error for slope analysis is ±1.169m and length analysis is ±0.259m.
机译:本文演示了固定翼无人飞行器在测绘半起伏地区的性能。当前的做法导致巨大的成本和时间消耗。本研究的目的是评估用于测绘坡度的摄影测量技术。固定翼无人机被用作300m高的图像采集工具。该单元是一个完整的套件,包括低成本数码相机,自主芯片,全球定位系统(GPS),陀螺仪和电子速度控制器。这项研究是在柔佛州士古来市进行的,该地处北纬1°33'24.49“,东经103°39'4.30?E。所有获取的图像均使用摄影测量技术进行处理,包括空中三角测量和束调整。本研究生产了两种主要的摄影测量产品,称为数字正射影像和数字高程模型(DEM),对这两种产品进行了分析以确定其结果的准确性,地面控制点和检查点随机分布在研究区域中,并且所有点利用GPS实时运动学(RTK)技术建立了该模型,发现斜率分析的均方根误差为±1.169m,长度分析的均方根误差为±0.259m。

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