This repo is an expansion of the original repo. It mainly adds code for handling datasets of varying dimensions, and the use of more than 1 Nyquist velocity for a single radar scan. It also includes new sample data.
Original description: This repo contains a pretrained model, sample code, and sample data for the paper "A Deep Learning-based Velocity Dealiasing Algorithm Derived from the WSR-88D Open Radar Product Generator"
To run the code in the repo, install the following into your python environment
numpymatplotlibtensorflow(>=2.9)
A demo showing how to apply the pretrained model to some sample data can be found in the script example.py.
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This material is based upon work supported by the Department of the Air Force under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Department of the Air Force.
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