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

A method for measuring an antenna downtilt angle based on a deep instance segmentation network, comprising:

• 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,
• wherein the deep learning algorithm comprises:
• 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;
• and
• the instance segmentation module comprises:
• directly mapping a region of interest to a feature map;
• segmenting a candidate region into k*k cells, determining, for each cell, four fixed coordinate positions of the center point of the cell, and calculating values of the four fixed coordinate positions using bilinear interpolation;
• and performing max-pooling and implementing back propagation.