摘要
针对直升机超低空飞行面临的电力线引起的安全问题,该文提出了一种基于决策树分类的毫米波雷达检测电力线的方法。针对电力线的布拉格散射特征,在此基础上研究了Hough变换的电力线检测方法,对于Hough变换后信号的含噪特征,提出了基于决策树分类器的分类处理方案,提取出所需要检测的电力线目标信息。最后通过MATLAB仿真,验证了该方法的有效性。仿真结果表明该方法简单有效,而且具有很高的检测概率,很低虚警概率。
Aiming at the safety problem caused by the power line of helicopter in low altitude flight,this paper presents a method of millimeter-wave radar detection of power line based on decision tree classification.Based on the Bragg scattering characteristics of power line,this paper studies the Hough transform's power line detection method,and proposes a classification scheme based on decision tree classifier to extract the information of power line target which needs to be detected.Finally,the effectiveness of the method is verified by MATLAB simulation.Simulation results show that theproposed method is simple and effective,and has high detection probability and low false alarm probability.
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2017年第1期95-99,共5页
Journal of Nanjing University of Science and Technology
关键词
毫米波雷达
布拉格散射
电力线检测
霍夫变换
MATLAB仿真
决策树分类
millimeter wave radar
Bragg scattering
power line detection
Hough transform
MATLAB simulation
decision tree classification