巡线LiDAR多通道光谱图像异常识别技术
投稿时间:2017-01-12  修订日期:2017-04-17  点此下载全文
引用本文:任天宇,端木庆铎,吴博奇,姜会林,许金凯,邱进财.巡线LiDAR多通道光谱图像异常识别技术[J].红外与毫米波学报,2017,36(5):554~562].REN Tian-Yu,DUANMU Qing-Duo,WU Bo-Qi,JIANG Hui-Lin,XU Jin-Kai,QIU Jin-Cai.LiDAR multichannel spectral abnormal image recognition technology for transmission lines[J].J.Infrared Millim.Waves,2017,36(5):554~562.]
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作者单位E-mail
任天宇 长春理工大学 理学院 turbo@126.com 
端木庆铎 长春理工大学理学院 duanmu@cust.edu.cn 
吴博奇 长春理工大学  
姜会林 长春理工大学  
许金凯 长春理工大学  
邱进财   
基金项目:Supported by Jilin Key Science and Technology Research Fund(130202GX010012794); National Natural Science Foundation of China (61077024,11474037); Specialized Research Fund for the Doctoral Program of Higher EducationofChina (20112216120005 );
中文摘要:联合GPS、ISN、LiDAR、测距机等, 构建超POS信息;计算最小视场分辨率、像元数、焦距等选择相机;将POS采集系统与相机组合成LiDAR多通道光谱图像异常识别系统.采用多通道匹配融合法融合紫、红外、彩色图片, 基于Hough变换, 通过同族容器归纳法确定疑似故障点.运用Hough变换、免疫遗传Snake、最小二乘法解析椭圆形貌, 解决绝缘子异常识别问题.工程实验表明, 该系统平均探测精度是82.4%, 优于直升机与人工平均值24.05%, 是一种高效率的智能电网巡线排查手段.
中文关键词:输电线路巡检  激光点云雷达  多光谱图像异常识别  超POS信息
 
LiDAR multichannel spectral abnormal image recognition technology for transmission lines
Abstract:The position and orientation system (POS) information of a target can be obtained through airborne laser radar (LiDAR) technology combined with the Global Positioning System, an inertial navigation system, and a laser range finder. The camera is chosen by calculating the minimum field of view resolution, pixel number, focal length, and other parameters. The LiDAR multichannel spectrum image recognition system is composed of the POS information acquisition system and the multispectral camera. The multichannel matching fusion method can produce ultraviolet, infrared, and color pictures. The elliptical shape can be fitted and parsed using the Hough transform method, the immune genetic snake model algorithm, and the least squares method, which can solve anomaly recognition problem in the insulator. The average failure detection resolution of LiDAR multi-channel spectral image anomaly recognition system is 82.4%, and it is higher than the average for copter and manual detection of 2405%. The proposed system is a highly efficient smart grid patrol screening method.
keywords:High-voltage line inspection, LiDAR  Multispectral image anomaly recognition, Super POS information
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