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

check out the news blog by our students

Our EAGLE students are posting various news about their activities, experiences or codes they developed. Read about their past years within the EAGLE program, their participation in international remote sensing conferences or what they achieved within EAGLE courses....

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M.Sc. defense of Sarah Nolting

Sarah Nolting will defend her M.Sc. thesis "Risk Assessment for Flood Events based on Geo- and Socioeconomic Data – A Case Study for North-Rhine Westphalia, Germany" on Wednesday 27th 2pm in room 0.004 OKW 86. from her abstract: "The world’s population has doubled...

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M.Sc. defense by Johannes Löw

You are all invited to join the M.Sc. presentation by Johannes Löw. He will defend his M.Sc. thesis on Wednesday 20th of March at 2pm in room 0.004 in OKW 86. from his abstract:Since Sentinel-1 A and B have become fully operational, it is now possible to generate...

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