Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery
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DOI：
10.3390/rs4061573
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发表时间：
2012-06-01
期刊：
影响因子：
5
通讯作者：
Lucieer, Arko
中科院分区：
文献类型：
--
作者：
Harwin, Steve;Lucieer, Arko
传感器的小型化、电池技术的改进以及低成本但先进的无人驾驶飞行器（UAV）的可用性为环境遥感提供了新的机会。UAV为近距离航空摄影提供一个平台。从微型无人机捕获的详细图像可以使用结合摄影测量和计算机视觉的多视角立体视觉（MVS）技术产生密集的点云。本研究将MVS技术应用于从澳大利亚塔斯马尼亚州东南部自然海岸地点的多旋翼微型无人机获得的图像。非常密集的点云(
Sensor miniaturisation, improved battery technology and the availability of low-cost yet advanced Unmanned Aerial Vehicles (UAV) have provided new opportunities for environmental remote sensing. The UAV provides a platform for close-range aerial photography. Detailed imagery captured from micro-UAV can produce dense point clouds using multi-view stereopsis (MVS) techniques combining photogrammetry and computer vision. This study applies MVS techniques to imagery acquired from a multi-rotor micro-UAV of a natural coastal site in southeastern Tasmania, Australia. A very dense point cloud (