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. Herzfeld, U. C., Hessburg, L. J., Trantow, T. M., & Hayes, A. N. Remote. Sens., 16(11):1854, 06, 2024.
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. [link]Link  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. [link]Paper  bibtex   
@article{journals/remotesensing/HerzfeldHTH24,
  added-at = {2024-07-19T00:00:00.000+0200},
  author = {Herzfeld, Ute C. and Hessburg, Lawrence J. and Trantow, Thomas M. and Hayes, Adam N.},
  biburl = {https://www.bibsonomy.org/bibtex/2eec03bed805254367e9761133b7d756b/dblp},
  ee = {https://doi.org/10.3390/rs16111854},
  interhash = {bb5cffa01b7ceed2a6d2dc402887fa6c},
  intrahash = {eec03bed805254367e9761133b7d756b},
  journal = {Remote. Sens.},
  keywords = {dblp},
  month = {06},
  number = 11,
  pages = 1854,
  timestamp = {2024-07-22T07:03:25.000+0200},
  title = {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.},
  url = {http://dblp.uni-trier.de/db/journals/remotesensing/remotesensing16.html#HerzfeldHTH24},
  volume = 16,
  year = 2024
}

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