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Notebooks and Qualitatives Example to the Cloud-Robust Classification of Remote Sensing Time Series presentation at Phiweek 2019

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Cloud-Robust Classification of Remote Sensing Time Series

ESA Phiweek presentation 10.9.2019

Marc Rußwurm & Marco Körner, Chair of Remote Sensing Technology Technical University of Munich

This repositotry contains qualitative examples of inference for Satellite Time Series classification for crop type identification.

For the Transformer examples see Transformer.ipynb Open In Colab

For the Recurrence examples see Recurrence.ipynb Open In Colab

Presentation

Slides are available at presentation.pdf

Setup

conda create -n phiweek19 pip jupyter
conda activate phiweek19
pip install -r requirements.txt

Dataset separation

This repository shows Results from the testset (orange) of the HOLL region in northern Bavaria. The model parameter were determined based on the training dataset. The hyperparameters were determined based on the performance on a 10% hold-back set from the trainset while training on the 90% of the remaining training dataset.

The regions Holl and Krum in Bavaria

Testset (orange) and Trainset (blue) of the Holl region

Testset (orange) and Trainset (blue) of the KRUM region

Self-Attention Mechanism on Testset in Holl Region

Self-Attention Mechanism on Testset in Krum Region

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