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WS23:Seminar Satellite Image Processing
WS23:Seminar Satellite Image Processing
Course contacts:
- Dozent: Marco Schmidt
Course summary
Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.WS22:Seminar Satellite Image Processing
WS22:Seminar Satellite Image Processing
Course contacts:
- Dozent: Moritz Heimbach
- Dozent: Marco Schmidt
Course summary
The topic of this seminar is algorithms and methods to process earth observation images from satellites. The introduction to the seminar takes place on 20.10.2022 at 16:15 in SE I (Computer Science building)vhb - Imaging in Astronomy Demo
vhb - Imaging in Astronomy Demo
Course contacts:
- Dozent: Matthias Kadler
- Dozent: Annika Kreikenbohm
- Dozent: Marcus Langejahn
- Dozent: Katharina Leiter
Course summary
In contrast to other natural
scientists, astrophysicists cannot directly experiment with the objects
of their interest. With a few exceptions, all knowledge of the physics
of objects in the Universe must be obtained from the electromagnetic
radiation emitted by them. Besides the analysis of spectra and
lightcurves, the investigation of images is therefore one of the most
important tools in astrophysics. In addition to images in visible light,
imaging instruments are used in all wavelength ranges, i.e., from radio
to gamma-rays. This course is divided into four blocks: Introduction,
basic methods of image processing, advanced methods and outlook.
The
fundamental concept of this online course is the close interaction
between the theory as well as tutorials and hands-on exercises using
data of ground- and space-based instruments. The aim of the course is to
provide a basic understanding of imaging methods using examples from
modern astronomy with measurements from ground-based telescopes and
satellites
Students will acquire the following skills:
• Image processing and interpretation using the example of astronomical measurements
• Data reduction and analysis according to current scientific methods
• Mathematical principles of image analysis
• Development and application of algorithms
• Programming basics and application of image processing in Python
• Intensified handling of English as a scientific language
• Independent preparation of a scientifically structured paper (protocol of results)
• Transfer of the methods used in astronomy to other areas