Generating large SAR datasets for ATR training
What is it about?
Training neural networks for automatic target recognition requires large volumes of sample data. SAR images are expensive to collect and there are very few open datasets available. This paper presents a simulation pipeline suitable for generating synthetic training data.
The following have contributed to this page: Dr Matthew A Ritchie, Prof. Hugh GRIFFITHS, and Mr Michael Woollard