Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV)
Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV)
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DOI：
10.1016/j.biosystemseng.2010.11.010
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发表时间：
2011-02-01
影响因子：
5.1
通讯作者：
Tian, Lei
中科院分区：
文献类型：
--
作者：
Xiang, Haitao;Tian, Lei
为了提供和改进遥感，开发了一种基于自主UAV的系统。该系统是基于一个易于运输的直升机平台，重量不到14公斤。无人机系统配备了多光谱相机和自主系统，能够在所需的位置和时间获取多光谱图像。利用传感器融合技术设计并实现了一种基于扩展卡尔曼滤波（EKF）的无人机导航系统。地面站被设计成操作员和无人机之间的接口，以执行使命规划、飞行命令激活和实时飞行监控。根据导航数据和地面站生成的航路点，无人机可以自动导航到所需的航路点，并在每个航路点周围悬停以收集现场图像数据。利用该系统对草坪草草甘膦施用情况进行了监测实验，结果表明，该系统具有较高的图像空间和时间分辨率，为农田遥感提供了一种灵活可靠的方法。(C)2010年IAgRE。由爱思唯尔有限公司出版。保留所有权利。
To provide and improved remote sensing a system based on an autonomous UAV was developed. The system was based on an easily transportable helicopter platform weighing less than 14 kg. Equipped with a multi-spectral camera and autonomous system, the UAV system was capable of acquiring multi-spectral images at the desired locations and times. An extended Kalman filter (EKF) based UAV navigation system was designed and implemented using sensor fusion techniques. A ground station was designed to be the interface between a human operator and the UAV to carry out mission planning, flight command activation, and real-time flight monitoring. Based on the navigation data, and the waypoints generated by the ground station, the UAV could be automatically navigated to the desired waypoints and hover around each waypoint to collect field image data. An experiment using the UAV system to monitor turf grass glyphosate application demonstrated the system, which indicated the UAV system provides a flexible and reliable method of sensing agricultural field with high spatial and temporal resolution of image data. (C) 2010 IAgrE. Published by Elsevier Ltd. All rights reserved.