BiographyI obtained her BSc in geodesy at the Technical University of Braunschweig and continued my MSc at Leibniz University Hannover, in Germany. I earned my PhD in remote sensing from an international program at the International Institute for Aerospace Survey and Earth Sciences (ITC), the Netherlands, together with Leibniz University, Hannover, Germany in 1996. Between 1996 and 1998, I worked as deputy head of the research division at the European Union Satellite Center (EUSC) in Madrid, Spain, followed by a period as an associate professor back at ITC, the Netherlands. From 2002 to 2012, I was CEO for a private company in Europe, where I was responsible for educational program and provided coaching and leadership training for managers. Currently, I am professor at the University of Osnabrueck, Germany, representing the chair of remote sensing and digital image processing there.
Areas of Research / Professional Expertise
My current research interests cover mainly standardization procedures for remote sensing image and data fusion. I use remote sensing for applications in the tropics, monitoring oil palm plantations, mapping, change detection, humanitarian crisis support, and coastal zone management.
I serve on technical committees of several international conferences in the field of remote sensing. As multiple book author I am also editor for the International Journal of Remote Sensing and member of the editorial board of the International Journal of Image and Data Fusion and the Journal of Geo-Spatial Information Science.
My personal interests focus on communication and body language working with horses. Animal welfare is another concern of mine. In addition I study nutrition and its impact on the human body. I prepare self-designed healthy vegan food with a large diversity of ingredients.
By: Christine Pohl
Subjects: Computer Science & Engineering, Geoscience
The amount of different remote sensing imagery has grown drastically in recent years. There is a wide variety of data having different advantages and disadvantages apart from their physical limitations. The approach of image fusion can be applied in this context because two or more images can be combined to obtain a new one that contains benefits from the used images.
In this regard, many techniques have evolved within last years which allow the fusion of image data. Many different methods have been developed to evaluate the quality of the results to allow such an evaluation. Most of these so called quantitative methods rely on a statistical background.
On the other hand it is possible to evaluate an image qualitatively, i.e. visually and mostly subjective. This method is intuitive and has the advantage that human perception can recognize aspects that may not be expressed by an algorithm. The visual assessment of image quality lacks a standardized method.
By the help of this study a protocol is developed. It should enable and standardize a method to visually assess the quality of a fused image based on specific aspects. With this it shall be possible to evaluate different fused images visually and objectively. The protocol is intended to target different application fields and therefore can be used universally.
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