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ZFL - Colloquium: Lecture by Prof. Ribana Roscher

We kindly invite you to the lecture by Prof. Ribana Roscher (Junior Professor for Remote Sensing at IGG, Dept.  for Geodesy, Bonn University),  who will talk about “Pattern Recognition and Machine Learning for Remote Sensing”

Date: Wednesday, February 1, 2017, 14:15

Venue: Zentrum für Fernerkundung der Landoberfläche/Center for Remote Sensing of Land Surfaces (ZFL), Walter-Flex-Straße 3, 53113 Bonn (room 3.004, 3rd floor)

 

Abstract  This presentation will give an overview about my current research with various application examples. In my work, I am aiming at the development of pattern recognition methods, which are particularly designed for the analysis of large scale remote sensing data. I specifically focus on efficient classification methods, techniques for sophisticated feature learning and the integration of prior knowledge such as spatial and temporal information. A central idea in my research is to develop methods which ensure a high discrimination power and at the same time model the underlying structure of the data, since such methods are a prerequisite for the automatic analysis of earth observation data. Currently, my main focus is on unsupervised and self-taught learning in order to integrate unlabeled data for the classifcation process. This covers methods such as sparse representation, archetypal analysis and one-class classifier. My applications cover the analysis and interpretation of multi- and hyperspectral aerial and satellite images (LULC classification), but also the detection of unknown classes and anomaly detection.

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