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
Master Thesis Presentation “Animal Path Segmentation and Analysis via Deep Neural Network Regression”
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Internship network fair
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Master Defense by Isabella Metz: ” Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery
On January 07, 2025, Isabella Metz will defend her master thesis on " Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In...
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Blender GIS introduction
Within out EAGLE Earth Observation M.Sc. we also cover software applications which might not be used on a regular basis within our field of research but are sometimes highly useful to display our spatial data in a visually appealing way - and also potentially provides...
EAGLE presentation by Gökçe Yağmur Budak
On November 26, 2024, Gökçe Yağmur Budak will present her internship results on " Leveraging Data-Driven Approaches for Seismic Risk Assessment in Istanbul " at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship aims to create time...
Internship presentation by Jean de Dieu Tuyizere: Mapping leaf area index in Ghana and Senegal using Gaussian process regression and Sentinel-2 Imagery
On November 26, 2024, Jean de Dieu Tuyizere will present his internship results on " Mapping leaf area index in Ghana and Senegal using Gaussian process regression and Sentinel-2 Imagery" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This study...