Data Analytics 2 Case Study
Segmentation of land use and land cover from satellite images
Set Up
python3 -m venv .venv # create new virtual environment
source .venv/bin/activate # linux
.\.venv/scripts/activate # windows
pip install -r requirements.txt # install dependencies
Structure
| File / Folder | Content |
|---|---|
| 📄 SatelliteSegmentation | Contains our main results and all steps you need to reproduce it. |
| 📁 data_exploration | Includes individual exploratory and experimental approaches. |
| 📁 cnn | Includes all approaches based on convolutional neural networks. |
| 📁 alternative_models | Includes all approaches which are not based on convolutional neural networks like SVMs, kNNs, LightGBM etc. |
| 📁 preprocessing | Includes our approaches to label patches with semi supervised learning. |
| 📁 helper_functions | Includes functions for the sliding window approach and functions to plot the result. |