Deep Learning

This repository hosts code to build deep convolutional neural networks in PyTorch. The code is designed for semantic image segmentation of multispectral satellite imagery. However, most of the code can also be used for image classification and object detection.

Datasets

Currently, the following publicly available satellite imagery datasets are supported out-of-the-box:

• Spatial Procedures for Automated Removal of Cloud and Shadow (SPARCS) by Hughes M.J. & Hayes D.J. (2014)
• Cloud-38 and Cloud-95 by Mohajerani S. & Saeedi P. (2019, 2020)

Contributors & Contact

• Daniel Frisinghelli

For further information or ideas for future development please contact: daniel.frisinghelli@eurac.edu

License

If not explicitly stated otherwise, this repository is licensed under the GNU GENERAL PUBLIC LICENSE v3.0 (see LICENSE).