Research on an Urban Low-Altitude Target Detection Method Based on Image Classification

• DOI: 10.3390/electronics11040657
• Publication Date: 2022-02-21T13:18:05Z
• Authors: Haiyan Jin; Yuxin Wu; Guodong Xu; Zhilu Wu
• Keywords: Low altitude; Transceiver; SIGNAL (programming language)

With the expansion of civil UAV (Unmanned Aerial Vehicle) market, UAVs are also increasingly being used in illegal activities such as espionage and snooping on privacy. Therefore, how to effectively control cities has become an urgent problem be solved. Considering urban background radar performance communication signals, a low-altitude target detection scheme based 5G base stations is proposed this paper. A signal external radiation source, method transceiver separation adopted, forward-scattered waves complete UAV. This paper mainly analyzes principle forward scattering environment, where wave stronger than backward-reflected contains both height difference midline information target. Based above theory, proposes recognition algorithm YOLOv3-FCWImageNet, which transforms into accomplishes by using excellent algorithms field image recognition. Simulation results show that FCWImageNet can distinguish two different targets effectively, realize monitoring classification UAVs.