Object-oriented image analysis

MET 2

Aim

Within this course object-oriented image analysis is introduced using different very high to high remote sensing data. Different approaches and techniques will be covered to allow students to apply this method in applied science.

 

Content

Theoretical basics of object-oriented methods are covered and discussed concerning their disadvantages and advantages for applied landscape analysis. Practical exercises are covering first segmentation steps to ready classified images. Various examples and technical settings are explored to outline the challenges and potential of object-oriented image analysis. Final outcome will be an individual project working on different set of images and methods.

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different techniques will be introduced and practically applied.

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Content

The content of scientific with regard to the audience will be discussed.

General Course News and Updates

MSc thesis defense by Patrick Sogno

MSc thesis defense by Patrick Sogno

On Monday, 25th of January at 10 a.m., Patrick Sogno will present his M.Sc. thesis "Earth Observation for Exposome Mapping – Proof of Concept and Case Study in Augsburg, Germany". from the abstract: "Non-communicable diseases – NCDs – (asthma, cancer, or diabetes, for...

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internship, inno lab and MSc idea

internship, inno lab and MSc idea

On Monday 21st of December at 10am we will have the following presentations:   Camilo (Internship)"Forest cover change between 2000 and 2020 in El Chaco ecoregion, Paraguay" at DLR Johannes Mast (Thesis Idea):"Measuring Urban Polycentricity using Remote Sensing"...

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MSc defense by Aiga Taghavi

MSc defense by Aiga Taghavi

Aida Taghavi will present her M.Sc. thesis "Potentials of Cosmic-Ray Neutron Probes for Assessing and Mapping SAR-based Soil Moisture in a Mediterranean agro-forestry ecosystem" on Dec. 15th at 1pm. From her abstract: "Accurate near-surface soil moisture (~ 5cm,...

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MSc defense by Pawel Kluter

MSc defense by Pawel Kluter

Pawel Kluter will present his M.Sc. thesis on Friday 30th of Oct. at 10 am with the title "Deep Learning Approach to Ship Detection and Classification Using Synthetic Aperture Radar Data". From his abstract: "With over 92,000 large commercial vessels at sea,...

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