基于高分辨率SAR影像的高压输电线路杆塔检测方法  

High voltage transmission-tower detection method based on high-resolution remote sensing image

作　　者：刘奕[1] 吴兆鑫[1] 徐梁刚[1] 张雪峰[2] 

机构地区：[1]贵州电网公司输电运行检修分公司,贵州贵阳550002 [2]国网电力科学研究院武汉南瑞有限责任公司,湖北武汉430074

出　　处：《电力科学与技术学报》2012年第3期47-51,共5页Journal of Electric Power Science And Technology

基　　金：国家重点基础研究发展计划("973计划")(209CB724507-3)

摘　　要：高压输电杆塔是电力系统中最重要的基础设施之一,其运行状态决定着整个电网的运行稳定和安全,对其运行状态的监测是高压输电线路监测的重要部分.提出利用高分辨率合成孔径雷达图像检测高压输电线路杆塔目标.由于在高分辨率SAR图像中,输电杆塔目标表现出明显的轮廓信息,利用G0分布参数模型和自相似性特征对输电杆塔目标进行检测分类.实验结果表明,该方法能够很好地实现在复杂场景中输电杆塔的目标检测分类.High voltage transmission-tower is one of the most important fundamental facilities of power systems. Its operation status infects the safe and stable running of power grids. The pow- er transmission-tower monitoring is an important part of high voltage transmission line monitoring. Based on the high-resolution SAR image, the monitoring method for the operation status of power transmission-tower was proposed in this paper. In high-resolution SAR image, power transmission-towers present some contour information. GO statistical clustering model and self-similarity features were used to classify the power transmission-tower. The experimental results showed that the proposed method successfully realized the power transmission-tower detection in complicated scenes

关 键 词：自相似性特征 合成孔径雷达 目标检测 输电杆塔 

分 类 号：TM835[电气工程—高电压与绝缘技术] TM764