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Case Study for Segmentation of land use and land cover from satellite images

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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.

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Case Study for Segmentation of land use and land cover from satellite images

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