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Der krönende Abschluss eines UNIGIS MSc Studiums ist sicherlich die Master Thesis. Mit ihr belegen unsere MSc-AbsolventInnen, dass sie den akademischen Grad "Master of Science (Geographical Information Science & Systems)" zu Recht führen.  Im UNIGIS professional Studiengang muss keine Abschlussarbeit verfasst werden. Dennoch nehmen einige Studierende die Möglichkeit war, ein Geoinformatikprojekt durchzuführen und entsprechend zu dokumentieren.

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Susanne Scholz [02-2010]:

Color Characterization for Digital Aerial Cameras - a new Approach for Radiometric Sensor Fusion

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Color characterization is a well known topic in the graphical industry. All devices used throughout the whole process, from photographing down to printing, are calibrated and characterized. The International Color Consortium (ICC) is a consortium of companies that support the characterization of devices with standardized color pro les, which contain information about the colors a device can represent, and device independent color spaces, for a well defined transformation between the color spaces of different devices. The idea of this thesis is to use this knowledge from the graphical industry developed in color theory and apply it to digital aerial cameras. Furthermore, it is being investigated if the characterization of digital cameras can support the fusion of data from different digital aerial sensors. In this thesis three di erent camera characterization methods are com- pared, the complete calibration workflow introduced and the accuracy evaluated, with a focus on the color quality compared to a reference. The result of a characterization process is a transformation matrix or a Look Up Table (LUT) containing information to convert the colors of a device into another color space (depending which reference values have been used for computation) and includes a color correction. To be able to find out whether the camera characterization (including color correction) brings a benefit for sensor fusion two different camera models with different color recording methods have been used for the investigation. The evaluation was performed on quality measurement figures suggested in color theory and the visual impression on real aerial images. Outdoor color targets are used for verification. The results have shown that the quality and accuracy of color representation can be improved with all three methods. There is one method, based on a polynomic adjustment, which produced in nearly all evaluations the best results. The application on real aerial images produced more colorful and bright images. This thesis is a first approach to use methods developed in color theory to improve colors in digital aerial photography. The results in this thesis show that the color reproduction quality rises. When characterizing two different sensors in the same manner, the colors are reproduced more accurately and with this are more similar to each other. For this reason, this approach brings also advantages when fusing images from different sensors.


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