Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery

Joe McGlinchy, Brian Johnson, Brian Muller, Maxwell Joseph, Jeremy Diaz. Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019. pages 3915-3918, IEEE, 2019. [doi]

@inproceedings{McGlinchyJMJD19,
  title = {Application of UNet Fully Convolutional Neural Network to Impervious Surface Segmentation in Urban Environment from High Resolution Satellite Imagery},
  author = {Joe McGlinchy and Brian Johnson and Brian Muller and Maxwell Joseph and Jeremy Diaz},
  year = {2019},
  doi = {10.1109/IGARSS.2019.8900453},
  url = {https://doi.org/10.1109/IGARSS.2019.8900453},
  researchr = {https://researchr.org/publication/McGlinchyJMJD19},
  cites = {0},
  citedby = {0},
  pages = {3915-3918},
  booktitle = {2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, July 28 - August 2, 2019},
  publisher = {IEEE},
  isbn = {978-1-5386-9154-0},
}