多光谱图像融合技术在输电线路无人机巡检中的应用与效率分析  

Application and Efficiency Analysis of Multi⁃spectral Image Fusion Technology in UAV Inspection of Transmission Lines

作　　者：冯伦 FENG Lun(Ultra High Voltage Branch,State Grid Sichuan Electric Power Company,Chengdu 610000,Sichuan,China)

机构地区：[1]国网四川省电力公司超高压分公司,四川成都610000

出　　处：《流体测量与控制》2024年第6期8-11,共4页Fluid Measurement & Control

摘　　要：针对输电线路无人机巡检中图像识别面临的挑战,提出了一种基于多光谱图像融合技术的解决方案。通过融合不同光谱波段图像,该技术显著提升了无人机在复杂环境下对输电线路目标识别的准确性,并有效降低了光照、阴影等环境因素的干扰。详细分析了融合技术的应用效果和效率,实验结果表明,该技术大幅提高了无人机巡检的效率和可靠性,缩短了巡检周期,减少了误检和漏检现象,具有显著的实际应用价值。Aiming at the challenge of image recognition in unmanned aerial vehicle(UAV)inspection of transmission lines,this paper proposes a solution based on multi-spectral image fusion technology.By fusing images of different spectral bands,the technology significantly improves the accuracy of UAV target recognition of transmission lines in complex environments,and effectively reduces the interference of environmental factors such as light and shadow.In this paper,the application effect and efficiency of fusion technology are analyzed in detail.The experimental results show that this technology greatly improves the efficiency and reliability of UAV inspection,shortens the inspection cycle,reduces the phenomenon of false detection and missing detection,and has significant practical application value.

关 键 词：多光谱图像融合技术 无人机巡检 输电线路 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]