The invention discloses an antenna downward inclined angle measuring method based on deep learning. The antenna downward inclined angle measuring method based on the deep learning comprises the following steps that an antenna database is established and is subjected to quantization treatment; an antenna picture is input a deep neural network and enters into a feature extraction network to obtainedan antenna feature image; the antenna picture enters into a SE characterization enhanced network to selectively enhance the containing of useful features and the restraining of useless features; andthe antenna picture enters into an object identification network to identify an antenna candidate and obtain the angle of an antenna inclined angle, wherein a compression exciting unit is arranged inthe SE characterization enhanced network to carry out modeling on the dependency relationship between channels, and the feature response values of the channels are adaptively adjusted. The angle of the antenna inclined angle is obtained through the antenna picture being treated by a deep learning network, and an antenna measuring method which is convenient, safe, effective and accurate is established.
Antenna downward inclined angle measuring method based on deep learning