pnnl/gumby-spectral-imaging
Deep Learning models for multi- and hyper-spectral imaging data
Byler, Nell↗
Engineering topics
Publications and source records attributed to Godfrey, Charles.
Deep Learning models for multi- and hyper-spectral imaging data
This research code base includes functions to compute statistics of image distributions in (spatial DFT) frequency space, train deep learning image classifiers on these distributions with variable depth and weight decay, and finally measure the sensitivity of the trained models to perturbations along (spatial DFT) frequency components.