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
Thesis idea and internship presentation
On Thursday, July 22nd at 2pm we will have the following presentations: Haiyin Ye (thesis idea):"Monitoring gypsy moth outbreak using Sentinel-1 and Sentinel-2 data" - supervisors Soyeon bae and Martin Wegmann Christabel Ansah (internship):"Virtual...
MSc Defense by Sandro Groth
Sandro Groth will present his M.Sc. thesis "Using street-level imagery and multi-task deep learning for multi-hazard risk related building characterization" on June 28th at 9am. From his abstract: "Accurate building characterization is a key component of multi-hazard...
MSc defense by Henrik Fisser
Henrik Fisser will present his M.Sc. thesis on Thursday 17th of June at 9am about “Sentinel-2-based moving truck detection for spatiotemporal road cargo emission and density approximation”. More details from his abstract: "In many countries freight is mainly...
MSc defense of Basil Tufail
Basil Tufail will present his M.Sc. thesis "Monitoring the Displacement of an Active Tailings Dam in Peru using Persistent Scatterer Interferometry (PS-InSAR)" on Friday, June 18th, at 9am. From the abstract: "As mining activities and the number of tailings dam grow...
MSc defense by Magdalena Halbgewachs
Magdalena Halbgewachs will present her MSc thesis "A Spectral Mixture Analysis and Landscape Metrics based framework for monitoring spatio-temporal forest cover changes: A case study in Mato Grosso, Brazil" on Wednesday 16th of June at 9am. From the abstract: More and...
Review of applications
Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...
MSc thesis defense by Johannes Mast
Johannes Mast will present his thesis "Analyzing the relationship between urban morphology and economic subcenters with a focus on urban polycentricity using remote sensing and socioeconomic data" on Monday 14th of June at 9am. From the abstract: "Polycentricity...
high number of application submitted for 2021
The application deadline for the 2021 EAGLE generation passed yesterday and 230 application were submitted. That are 80 more than last year. Check out who started in the 2020 EAGLE generation here. We are now going through each single one and check for general...
EAGLE 2021 application deadline approaching
the application deadline for our international Earth Observation M.Sc. program EAGLE is slowly approaching. Apply before May 15th to be reviewed and potentially interviewed for a place in the 2021 EAGLE group. Check out our courses, our lecturer and most important...
Internship, inno lab and MSc idea presentations
On Thursday, May 20th, at 2pm the following students will present their internship, inno lab or MSc thesis idea: Christopher Chan:“Patching up old Deep Learning code and working with data center remotely” (Internship with DLR, supervisor Benjamin Leutner) Diego...