Nanjing University of Aeronautics and Astronautics

Zhiren Gong

Qihui Wu

Xiaofei Zhang

Yang Huang

Kai Mao

Weizhi Zhong

Qiuming Zhu

Xuan Wu

Yiwei Lu

Tianyu Hu

A three-dimensional (3D) spectrum situation completion method and device based on a generative adversarial network includes performing graying and coloring preprocessing based on incomplete 3D spectrum situations from historical or empirical spectrum data obtained by a UAV through sampling a target region, obtaining three-channel incomplete 3D spectrum situation maps displayed in colors, forming a training set based on the incomplete 3D spectrum situation maps; training the generative adversarial network based on the training set and obtaining a trained generator network in the generative adversarial network, performing graying and coloring preprocessing based on a measured incomplete 3D spectrum situation obtained by the UAV through sampling a specified measurement region, obtaining a three-channel measured incomplete 3D spectrum situation map displayed in colors, and using the measured incomplete 3D spectrum situation map as input data to the generator network to obtain a three-channel measured complete 3D spectrum situation map displayed in colors.

Three-dimensional spectrum situation completion method and device based on generative adversarial network

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Nanjing, China

Zhiren Gong