crossrefRemote Sensing2024-05-23Cited by 4
Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges
Ute C. Herzfeld, Lawrence J. Hessburg, Thomas M. Trantow, Adam N. Hayes
The objectives of this paper are to investigate the trade-offs between a physically constrained neural network and a deep, convolutional neural network and to design a combined ML approach (“VarioCNN”). Our solution is provided in the framework of a cyberinfrastructure that inclu…