What it is about
You will learn the fundamentals and applications of hyperspectral remote sensing as well as practical procedures for improving and evaluating such image data. In the end you will be able to download hyperspectral datasets, improve their quality, use common geospatial ML libraries, and perform reproducible experiments including checkpoints and visualizations.
What you will be able to do
- download hyperspectral data
- design a research plan
- improve image quality of hyperspectral data
- use geospatial ML libraries to organize experiments
- checkpoint, log, and visualize model training runs
What the module consists of
- VorlesungIntroduction of new concepts through slides and live coding
- ÜbungExpansion of demonstrations to practical tasks with different platforms and libraries
Teaching method
- FolienpräsentationenIntroduction and structuring of new concepts
- Live-Coding-ÜbungenPractical demonstration of the concepts
- ComputerübungenIndependent implementation and deepening of the shown methods