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
MSc defense by Pawel Kluter
Pawel Kluter will present his M.Sc. thesis on Friday 30th of Oct. at 10 am with the title "Deep Learning Approach to Ship Detection and Classification Using Synthetic Aperture Radar Data". From his abstract: "With over 92,000 large commercial vessels at sea,...
Our EAGLE 2020 generation
Our new EAGLE Earth Observation students arrived and we took a group picture while keeping the required distance due to the current situation. Unfortunately not all students could arrive on time for the group picture and hence cannot be seen on the image below. We are...
New EAGLE stickers arrived
Just in time for the welcome of the new EAGLEs we received our new EAGLE stickers. They are a first trial of irregular shaped stickers and more will come. The fit nicely with our "old" PixelschubserIn sticker (pixel pusher) and more formal "Remote Sensing Scientist"....
impressions of our UAV course
In September 2020 our UAV course took place and all practical exercises were covered. The manual UAV control as well as the automatic mission planning settings were discussed and actually applied. Various UAV systems were explored by the students and a diversity of...
M.Sc. presentation by Segun Adewale Ojo
Segun will defend his M.Sc. "Application of Remote Sensing Techniques to detect historical landslides for improving risk assessment in Antioquia, Colombia." on Oct. 16th at 10 am. From the abstract: "In developing countries, current urbanization trends are leading to...
internship, inno lab and MSc idea presentations
On Thursday 24th of September from 10am onwards we will have a range of presentations covering a MSc idea presentation Patrick Sogno on "Earth Observation for Exposome Mapping - Proof of Concept and Case Study in Augsburg, Germany" followed by various internship...
EAGLE student published review article with Prof. Kuenzer
Congratulations to our EAGLE student Patrick Sogno who published together with Prof. Claudia Kuenzer a review article on "Earth Observation Data Supporting Non-Communicable Disease Research: A Review". From the abstract: "A disease is non-communicable when it is not...
M.Sc. defense by Michael Wang
Michael Wang will present his thesis "Comparison of Surface Urban Heat Islands Using the World Settlement Footprint Imperviousness Layer" on Sept. 17th at 10am. From the abstract: "In the growing field of surface urban heat island (SUHI) analysis, impervious surface...
MSc. presentation by Fowad Ahmed
Fowad Ahmed will present his M.Sc. thesis "Agricultural landscape Configuration and Pattern Analysis with VHR Imagery in Bavaria" on Friday 11th at 11am. from the abstract: "Hedgerows and woody linear features are an integral part of the landscapes where they exist....
M.Sc. defense by Nina Gnann
Nina Gnann will present her M.Sc. thesis "Identification of anthropogenic debris assisted by unmanned aerial vehicles and deep learning” on September 8th 12pm. From the abstract: Due to anthropogenic actions, plastic and other debris are distributed in the environment...