红外与毫米波学报2017，Vol.36Issue(5)：554-562,9.DOI:10.11972/j.issn.1001-9014.2017.05.008
巡线LiDAR多通道光谱图像异常识别技术
LiDAR multichannel spectral abnormal image recognition technology for transmission lines
摘要
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.关键词
输电线路巡检/激光雷达多光谱图像异常识别/超POS信息/多通道光谱成像系统Key words
high-voltage line inspection/LiDAR Multispectral image anomaly recognition technology/super POS information/multichannel spectral image system分类
信息技术与安全科学引用本文复制引用
任天宇,端木庆铎,吴博琦,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):554-562,9.基金项目
Supported by Jilin Key Science and Technology Research Fund (130202GX010012794) （130202GX010012794）
National Natural Science Foundation of China (61077024,11474037) （61077024,11474037）
Specialized Research Fund for the Doctoral Program of Higher Education of China (20112216120005) （20112216120005）
