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Related Experiment Video

Updated: Jan 1, 2026

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

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

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.

Failed At:

2026-06-19T13:38:26.699194+00:00

Keywords:

convolutional neural network generative adversarial network ice tracking radar imagery

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