Topics for theses
Topics for Bachelor theses (BT)
- Use of high-resolution terrain models to calculate the incident solar radiation power, taking into account the local topography (in cooperation with the HZDR, contact: Anette Eltner)
- Validation of possibilities for combining a terrestrial laser scanner and a camera using the example of the Riegl VZ-400i (Contact: Katja Richter and Steffen Isfort)
Adaptable topics (suitable for BT and MT)
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AI-based stabilization and occlusion correction of time-lapse images to optimize 4D change detection (Infos see Link, contact: Anette Eltner, in coorp. with Melanie Elias (HTWD))
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Analysis of the potential of the TreeAIBox for the evaluation of laser scanner data of trees in CloudCompare (Contact: Katja Richter and Anne Bienert)
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A comparison of SLAM-based mobile laser scanners: An analysis of the measurement accuracy and system technology of GeoSLAM ZEB-Horizon and CHCNav RS10 (Contact: Katja Richter and Carolin Rünger)
Topics for Master's theses (MT)
- Analysis of the possibilities of identifying water lines from photogrammetric data (Contact: Prof. Maas)
- Development of a method for image-based evaluation of measurements of visibility depth in water with a Secchi disk. (Contact: David Mader & Katja Richter)
- Deep learning to improve aerial photogrammetry with historical imagery. (Contact: Anette Eltner & Ferdinand Maiwald)
- Automatic extraction of water lines from multi-spectral aerial imagery data to derive consistent depth models in lake surveying. (in cooperation with the Bundesamt für Seeschifffahrt und Hydrographie (BSH), contact: Christian Mulsow)
- Evaluation of image processing methods for the automated detection of pedestrians in high-resolution satellite images (Contact: JProf Anette Eltner, in cooperation with Melanie Elias (HTWD))
- Potential of AI-based software engineering for solving photogrammetric problems (programming skills required, Contact: JProf Anette Eltner und David Mader)
- Development of a method for the detection and quantitative determination of branch movements in multi-temporal laser scanner data sets (Contact: Anne Bienert and Katja Richter)
- Artificial intelligence-based classification of vegetation structures in 3D LiDAR data of forest ecosystems (Contact: Anne Bienert and Katja Richter)
Notes
Please ask the supervisors about the availability of the topics. For the selection of the topic, the processing, submission and evaluation of the thesis, please refer to our guidelines for theses.