Typical Feature Information Extraction of Transmission Corridor Based on UAV Inspection Hyperspectral Image

摘要：

　　The difference in growth rates of different types of trees around a transmission corridor leads to different levels of threat to transmission lines.In order to develop a reasonable and efficient maintenance plan for targeted needles,a high-spectral aerial survey of 110kv transmission lines was carried out,and high-threat areas with dense trees were selected for analysis.After using the competitive adaptive re-weighting algorithm(CARS)to select the feature bands,the cluster-support vector machine(C-SVM)algorithm is used to classify the four typical trees around the line with the transmission lines,bare soil,and rivers.The results show that the C-SVM classification can get better classification results,and the accuracy of the classification result reaches about 0.95.

关键词： Hyperspectral Drone Transmission corridor C-SVM Feature recognition

作者: Chen ZHAO Chao FAN Yu-jun GUO Kai LIU Xue-qin ZHANG Guang-ning WU

作者单位: School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China

会议类型: 国际会议

会议名称: 2019 International Conference on Informatics, Control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

会议地点: 上海

会议语种:英文

页码: 161-167

在线出版日期: 2019-06-16（万方平台首次上网日期，不代表论文的发表时间）