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Dipl.-Inf. Johannes Jordan

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Hyperspectral cameras are a core technology in remote sensing. Recently, multispectral and hyperspectral sensors became increasingly applicable to other fields, e.g. cultural heritage and medical diagnosis. A camera that can see more information than the human eye is fascinating. My vision is that we can access this unseen information easily and intuitively with the help of novel processing and visualization systems.

Theses

5 Finished
Student Theses
Christlein, Vincent:
A Common Framework for Copy-Move Forgery Detection
Advisor: Angelopoulou, Elli; Jordan, Johannes; Riess, Christian
Beginn: 01.06.2009

Föhrweiser, David:
Empirical Analysis of Semi-automatic 2D/3D Image Segmentation Approaches
Advisor: Angelopoulou, Elli; Jordan, Johannes; Kollorz, Eva
Beginn: 01.12.2010

Danner, Daniel:
Unsupervised Segmentation of Multispectral and Hyperspectral Image Data
Advisor: Angelopoulou, Elli; Jordan, Johannes; Mewes, Philip
Beginn: 01.10.2010

Müssig, Ralph:
Variants of Self-Organizing Maps for Edge Detection
Advisor: Angelopoulou, Elli; Jordan, Johannes; Riess, Christian
Beginn: 15.11.2010

Bachelor Theses
Lugauer, Felix:
Self-Organizing Maps for Edge Detection in Multispectral Images
Advisor: Angelopoulou, Elli; Eibenberger, Eva; Jordan, Johannes
Beginn: 20.04.2010