基于无人机遥感技术的都江堰山区无人灌渠巡查

Jiayuan Lin, Xingxia Zhou, Shunjie Deng, Xiaolin Du, Meimei Wang, Xinjuan Li
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引用次数: 2

摘要

都江堰灌溉系统负责灌溉四川盆地中西部约100万公顷农田。定期对灌溉渠进行全方位人工检查,需要耗费大量的人力和财力,尤其是在山区。无人机具有成本低、起降灵活、图像分辨率高等优点,非常适合用于灌溉渠沿线的图像获取。在本文中,人民运河的两个试验点被选择用于无人机作战。介绍了无人机系统及其主要部件,以及规划的飞行路线、获取的无人机图像和拍摄参数。首先描述了空中三角测量、DSM和DOM的生成以及三维场景的纹理化,然后在DOM上进行基于置信度的边缘检测和均值移位图像分割。然后对两个试验点的附属建筑进行了识别,并根据所得的dom和DSMs对灌渠的现状进行了评估。结果证明了无人机系统应用于山区无人灌渠快速巡检的可行性和潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inspecting Unattended Irrigation Canals of Dujiangyan in Mountainous Area with UAV Remote Sensing Technology
The irrigation system of Dujiangyan takes charge of irrigating about 1 million hectare farmland in the Midwest of Sichuan Basin. It costs huge manpower and financial resources to periodically conduct manual inspection on the full range of irrigation canals, especially in mountainous area. With the advantages of low cost, flexible taking-off and landing, and hyperspatial image resolution, Unmanned Aerial Vehicles (UAVs) are very suitable for obtaining photographs along the irrigation canals. In this paper, two test sites of the Renmin Canal were chosen for UAV operations. The UAV system and its major components were introduced along with the planned flight routes, acquired UAV images, and photographing parameters. Aerial triangulation, generation of DSM and DOM, and textured 3D scenery were described followed by confidence-based edge detection and mean shift image segmentation on DOM. Then the ancillary buildings of the two test sites were identified and the current status of the irrigation canal was assessed on the resulting DOMs and DSMs. Results proved the feasibility and potential of applying the UAV system to rapidly inspecting unattended irrigation canals in mountainous area.
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