基于卫星遥感影像的输电线路异物故障特征分析

Fault characteristics analysis of transmission lines with foreign bodies based on satellite remote sensing images

卫星遥感影像可以检测高压输电线路的运行情况,增加异物检测的准确性。本次采用预估漂移区域筛选法提取关键帧,再使用Mean-S hift算法对异物故障特征指标进行计算,实现故障特征分析算法的设计。

Satellite remote sensing images can detect the operation of high-voltage transmission lines and increase the accuracy of foreign body detection.In this paper,the key frame is extracted by predictive drift region selection method,and the fault characteristic index of foreign body is calculated by Mean-Shift algorithm to realize the design of fault feature analysis algorithm.