Hyperspektrale Fernerkundung: Theorie und Anwendung

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

Dates

Lecture with exerciseHyperspektrale Fernerkundung: Theorie und Anwendung

Thu10:30–12:00
00.020, come together (9377.EG.020)
14× · 15.10.–04.02.
- 15.10.
- 22.10.
- 29.10.
- 05.11.
- 12.11.
- 19.11.
- 26.11.
- 10.12.
- 17.12.
- 07.01.
- 14.01.
- 21.01.
- 28.01.
- 04.02.

From the current semester, not binding.

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