基于多光谱和LiDAR数据融合技术的树种分布识别及树障分级预警系统研究

为快速、可靠实现“线树”距离判断,通过无人机搭载三维LiDAR设备,利用多光谱和LiDAR数据融合技术,以精确判断输电线路通道的“线树”距离和实现树种分布识别。通过采集输电线路通道的各类环境实测信息数据,构建输电线路通道的典型树障生长周期模型,根据树木的生长速度,分析预测树木可能形成隐患的时间节点。建立树障分级预警系统,对预测的隐患点及时处理,不仅可以提高输电线路运维巡视效率,而且大大降低了输电线路的维护成本。

Research on Tree Species Distribution Identification and Tree Barrier Classification Early Warning System Based on Multispectral and Lidar Data Fusion Technology

In order to judge the line tree distance quickly and reliably,the unmanned aerial vehicles is equipped with 3D LiDAR equipment.Using multispectral and LiDAR data fusion technology,it accurately determines the line tree distance of trees in the transmission line channel and realizes the identification of tree species distribution.By collecting all kinds of environmental measured information data in the transmission line channel,the typical tree barrier growth cycle model of transmission line channel is constructed.According to the growth rate of trees,the time nodes of potential hidden dangers of trees are analyzed and predicted.According to the prediction results,the predicted hidden danger points are handled in time,which can improve the inspection efficiency of transmission line operation and maintenance.It reduces the transmission line maintenance cost.