摘要
针对无人机图像中图像分辨率低、背景杂乱等问题,提出了一种电力线图像自动检测方法。通过使用机器学习方法对无人机采集的图像进行自动识别,可以排除噪声区域图像,准确识别出无人机图像中的电力线部分。通过使用9张无人机采集的图像对所提方法进行了验证,结果表明所提出的方法可以有效地进行电力线图像的自动识别。
An automatic power line image detection method is proposed for many problems such as low image resolution and background clutter in UAV images.By using the machine learning method to automatically identify the images captured by the UAV,the power line part of the UAV images can be accurately identified by excluding the noisy area images.The proposed method is validated by using nine UAV-captured images,and the results show that the proposed method can effectively perform automatic recognition of power line images.
作者
刘哲
闫佳文
陈长金
蒋春悦
耿立卓
安会
LIU Zhe;YAN Jiawen;CHEN Changjin;JIANG Chunyue;GENG Lizhuo;AN Hui(Training Center of State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050031,China;Shijiazhuang Posts and Telecommunications Technical College,Shijiazhuang 050021,China)
出处
《机械与电子》
2022年第3期54-57,共4页
Machinery & Electronics
关键词
机器学习
图像识别
电力线
machine learning
image recognition
power lines
