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Method for measuring antenna downtilt angle based on deep instance segmentation network

机译:基于深实例分割网络测量天线下坡角度的方法

摘要

A method for measuring an antenna downtilt angle based on a deep instance segmentation network is disclosed, including: shooting an omni-directional antenna video using a drone; and transmitting the antenna video to a server in real time, and the server measuring an antenna downtilt angle in real time using a deep learning algorithm, the deep learning algorithm includes: a feature extraction network module for acquiring an antenna feature image; an instance segmentation module for binary segmentation of an antenna image and the background to distinguish antenna image pixels from background pixels; an antenna candidate box module for identifying and detecting the antenna image, acquiring an antenna candidate box and determining an antenna calibration box therefrom; and an antenna downtilt angle measuring module for measuring an antenna downtilt angle.
机译:公开了一种用于测量基于深度实例分割网络的天线下坡角度的方法,包括:使用无人机拍摄全方位天线视频; 并实时将天线视频发送到服务器,并且服务器使用深度学习算法实时测量天线下降角度,深度学习算法包括:用于获取天线特征图像的特征提取网络模块; 用于天线图像的二进制分割的实例分割模块和背景从背景像素区分天线图像像素的背景; 用于识别和检测天线图像的天线候选盒模块,从中获取天线候选盒并从中确定天线校准箱; 和用于测量天线下来的天线下坡角度测量模块。

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