Aim
In this course we will learn the alternative image analysis paradigm of object-based image classification. Image objects are areas in images which consist of pixels from the same land-cover class (e.g. buildings, water surfaces, vegetation) and allow the application of additional image classification methods in comparison to pure pixel-based methods and the integration of multi-modal date (e.g. vector data).
Content
In the course we will use satellite images and high resolution aerial images in combination with vector data and analyze various image classification methods (nearest neighbor -> random forests -> deep learning) to extract relevant information from the images.
We will use the software “eCognition”.
The course will be held on 3 days in Würzburg plus an introductory lecture which is being held online.
Session 1: getting to know to image objects and eConition software, basic classification methods
Session 2: advanced classification (Machine Learning)
Session 3: Deep Learning
Coding
Software
Techniques
Content
General Course News and Updates
Great Earth Observation presentations despite distance learning
Despite the online courses we learned and managed to deliver great presentations on remote sensing data analysis in our courses and also improved our virtual presentation skills which might also partially be valuable in future conference or workshop presentations.
Our EAGLE students with UAV and field work jackets
Our EAGLE students preparing our UAVs with thermal, multispectral and Lidar sensors for the upcoming field work season. Also wearing our new field work jackets so that we all are easily recognizable as Earth Observation researchers.
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...
internship and inno lab presentations
On Wednesday, 27th of February at 2pm we will have the first set of internship and innovation laboratory presentations in 2021: Yan Chak Christopher Chan: Start-up life and Deep Learning (Internship) Nils Karges: Noise and its relation to urban structural types...
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"...
EAGLE wall of graduates is growing steadily
Our EAGLE wall of fame is being continuously extended by pictures of our new graduates and the group pictures of our EAGLE cohortes. Great to see their pictures on our wall and following their career past the EAGLE M.Sc.. Very interesting positions from companies to...
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,...
Internships, inno lab and MSc ideas presentations
On Monday, Dec. 14th at 10am, we have another set of internship, innovation lab and MSc. thesis idea presentations: Sandro Groth: Multitask Deep Learning and Google Street View: Assessing seismic building vulnerability in Santiago de Chile (Internship)...
MSc idea & internship
On Monday, Dec. 7th at 10am, various internships, innovation labs and M.Sc. ideas will be presented: Malin Fischer: EO and spatial data analysis for rural village assessment - example from the electrification sector (Internship) Henrik Fisser: Road traffic...
Our newest EAGLE generation featured on 40 years of DLR Earth Observation Centre (EOC) article
We are thrilled to see our youngest EAGLE generation being mentioned on the 40 years anniversary of DLR-EOC news article. Great to see the EAGLE group on the DLR webpage (with some students missing though) fitting perfectly into the interesting and dynamic evolution...