Method for measuring antenna downtilt based on multi-scale detection algorithm

A method for measuring an antenna downtilt based on a multi-scale detection algorithm, comprising:

• capturing an image of an antenna using an unmanned aerial vehicle;
• obtaining a ground truth box where the antenna is located by performing the multi-scale detection algorithm on the image of the antenna;
• segmenting the ground truth box based on an antenna target segmentation algorithm of a server;
• and
• obtaining an antenna downtilt angle based on an antenna downtilt measurement algorithm of the server;
• wherein the obtaining a ground truth box where the antenna is located based on the multi-scale detection algorithm of the server comprises:
• obtaining predictive boxes through a basic convolutional network;
• and
• obtaining the ground truth box through a multi-scale convolutional network;
• and
• wherein the obtaining predictive boxes through a basic convolutional network comprises:
• processing the image of the antenna by a plurality of series-connected convolutional layers, wherein the image of the antenna is max-pooled each time the image of the antenna is processed by one of the plurality of the series-connected convolutional layers;
• outputting a feature map by processing the max-pooled image of the antenna by two fully-connected layers and multiple layers of convolution kernels of different scales;
• and
• generating, on the feature map, the predictive boxes taking a center of the feature map as an origin and being concentric.