Deep Learning

Deep learning models for remote sensing applications

Setting up a python environment

  • Follow the instruction in https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html for downloading and installing Miniconda

  • Open a terminal in the code directory

  • Create an environment using the .yml file:

    conda env create -f deepsatmodels_env.yml

  • Activate the environment:

    source activate deepsatmodels

  • Install required version of torch:

    conda install pytorch torchvision torchaudio cudatoolkit=10.1 -c pytorch-nightly

Datasets

MTLCC dataset (Germany)

Download the dataset (.tfrecords)

The data for Germany can be downloaded from: https://github.com/TUM-LMF/MTLCC