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AI Radar Sensor: Creating Radar Depth Sounder Images Based on Generative Adversarial Network.

Maryam Rahnemoonfar1, Jimmy Johnson1, John Paden2

  • 1Computer Vision and Remote Sensing Laboratory, University of Maryland, Baltimore, MA 20742, USA.

Sensors (Basel, Switzerland)
|December 18, 2019
PubMed
Summary

Synthetic radar images generated using generative adversarial networks (GANs) can augment real data for training deep neural networks. However, GAN-generated images alone are insufficient for training due to limitations in simulating radar characteristics.

Keywords:
convolutional neural networkgenerative adversarial networkice trackingradar imagery

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