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

final course presentations

Our EAGLE students had to present their work as posters, reports or oral presentations at the end of the summer term and could show impressive achievements and results of small research projects.Some impressions of their oral and poster presentations can...

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First EAGLE Midsummer Dialogue

Beside participants from the University of Wuerzburg and the DLR, also many colleagues from companies and a variety of national and international research institutions joined this event. The midsummer dialogue was organized by the EAGLE students. The students were...

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application deadline in 7 days

The application deadline for the upcoming winter term is approaching. Apply within the next 7 days here: http://eagle-science.org/apply - application deadline is May 15th, further details about needed documents are listed on the application page. Learn within EAGLE...

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