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
Field Work Course 2019
Within the EAGLE program many Earth Observation applications and techniques are introduced and practically executed with quite some computer work. However, remote sensing research also requires a sound understanding of the study area. Field work is therefore a crucial...
Internship and Innovation Lab presentations
on Monday 15th of July at 10 a.m. in room 0.009 (OKW 86) we will have another series of internship and innovation lab presentations plus on M.Sc. idea presentation: (Internship) Marius Philipp -- "Mono Delta Monitoring System (MODES)" (Internship) Silvan...
Innovation Lab and thesis presentation
On Thursday 27th of June at 10am in room 0.004 (OKW 86) the following students will present their M.Sc. idea and their innovation lab outcome: Thesis idea presentation by Johni Miah:"Detecting and Assessing Ground Subsidence of Dhaka City, Bangladesh, using Synthetic...
textbooks on remote sensing
Our already published textbook on "Remote Sensing and GIS for Ecologists - using Open Source software" was very well perceived and we got very positive feedback. However, either an introduction or more advanced methods and data was asked for as well. Hence, we decided...
EAGLE summer dialogue 2019
Our next EAGLE summer dialogue to bring together all EAGLE students and lecturer, staff of our department and all colleagues from close and far away is slowly approaching. On June 28th we welcome again everybody to join us for the EAGLE summer event with two keynotes:...
Julia Sauerbrey successful M.Sc. defense
Congratulations to Julia Sauerbrey who successfully presented her M.Sc. thesis. Read more about her interesting research project.
application deadline 2019 is approaching
Application deadline for the winter term 2019 is approaching
Internship and MSc presentations
On Thursday, May 23rd, we will have a range of very interesting internship, innovation lab and M.Sc. idea presentations (10 am, OKW 86, room 0.004): Sebastian Buchelt (Internship Presentation): "Assessment of classification algorithms on the example of sea ice - why...
M.Sc. defense by Julia Sauerbrey
Julia Sauerbrey will defend her M.Sc. "Integration of SAR and Optical Satellite Imagery: Time-Series Analysis of Sentinel-1 and Sentinel-2 Imagery for Detection of Active Morphodynamics: A Case Study in the Atacama Desert, Chile" on Thursday 9th of May at 10am in room...
EAGLE students preparing for ESA LPS 2019
our EAGLE students are organizing a joint trip and accommodation to the ESA LPS symposium in Milan and are currently preparing all other things such as business cards. They are very much looking forward to many highly interesting presentations and to meet diverse...