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
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...
MSc thesis presentations by Navid Chamani
Navid Chamani is defending his thesis "Investigation on the intra-annual variations of the relationship between Landsat 8-derived LST and spectral indices in west Africa" on September 25th 10am. from the abstract: "Monitoring the variations of the land surface...
MSc defense by Salim Soltani
Selected map of NSR and non_NSR cities from 1990-2019, NSR cities represent the cities located directly on the New Silk Road , and non_NSR cities represent cities located far from( at least 100 Km) the New Silk Road. Salim Soltani will defend his M.Sc. thesis...
New EAGLEs in 2020
we are finally through all 140 interviews of eligible EAGLE applications. We had again very good and highly suitable candiates and in total 25 applicants passed the interviews and are accepted to the EAGLE program. Our new EAGLEs are from various countries (15...
M.Sc. Defense by Felix Glasmann
Felix Glasman will defend his M.Sc. thesis "The FireBIRD Mission: Potential for the Detection of Gasflaring" on Thursday 30th of July at 11am. From his abstract: "The controversial but widespread process of gas flaring has received growing attention over the recent...