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
EAGLE visit DLR-EOC
Our EAGLEs in 2018 visited the German Aerospace Center, namely the Earth Observation Center, close to Munich. Various topics were presented by DLR scientist and the EAGLEs hat the chance to discuss various topics in small groups with individual scientists.
Internship and M.Sc. idea presentations
on Thursday, December 13th, at 12:30 we will have the following presentations in the student working room (Josef Martin Weg 52, 3rd floor): internship presentations: Johni Miah"Remote Sensing and Geographic Information System for Decision...
New 2018 EAGLE students now online
Web presence of you new EAGLE students is online. Our new 2018 EAGLE students created their own webspace in order to present the group and each student individually. Have a look who started EAGLE this year, read about their background and interests - and especially...
M.Sc. graduation by Jakob Schwalb-Willmann
Congratulation to Jakob Schwalb-Willmann who successfully graduated today! His M.Sc. topic was "A deep learning movement prediction framework for identifying anomalies in animal-environment interactions" aiming to explore the potential of animal movement...
EAGLE welcome 2018
Our new EAGLEs arrived! We welcomed our new international EAGLE students from the US, Ecuador, Bangladesh, Ruanda or Germany for the upcoming winter term and introduced the lectures as well as the courses. In the evening we had a joint dinner to get to...
EAGLE M.Sc. idea presentations
On Monday, 24th of September from 1:30 onwards the following EAGLE students will present their M.Sc. idea. Everybody is welcome to join their presentations and to provide feedback: Julia: "Time-Series Analysis of Sentinel-1 and Sentinel-2...
EAGLE Internships
On Monday, 24th of September, at 1pm the following internship reports will be presented: Bharath: "Installation and Characterization of an imaging Spectrometer for the UAV-based remote sensing" Johannes: "Crop classification based on S1/S2 in...
New MSc thesis: Time series analysis in Colombian Orinoco Basin
Pilar Endara started her M.Sc. thesis on "Time series analysis of flooding and vegetation patterns in wetlands of the Colombian Orinoco Basin" The ecosystems that are present within Colombian Orinoquia flooded savannas are currently being threatened by conversion of...
Internship, Innovation Lab and MSc idea presentations
The following students presented their innovation labs, internships and ideas for MSc. thesis: Ahmed: Innovation Lab at DLR (team of Ursula Gessner) and Master Thesis Idea: Title: Status of Agricultural Lands in Egypt using Earth Observation Maninder (at DLR,...
EAGLE summer dialogue 2018
Our 2018 EAGLE summer dialogue took place last Friday, 22nd of June and was a great place to meet all students, lectures, staff of the department and quite some external guests from all around Europe.