Semi-automatic generation of training samples for detecting renewable energy plants in high-resolution aerial images M Kleebauer, D Horst, C Reudenbach Remote Sensing 13 (23), 4793, 2021 | 10 | 2021 |
Multi-resolution segmentation of solar photovoltaic systems using deep learning M Kleebauer, C Marz, C Reudenbach, M Braun Remote Sensing 15 (24), 5687, 2023 | 8 | 2023 |
Enhancing Wind Turbine Location Accuracy: a Deep Learning-Based Object Regression Approach for Validating Wind Turbine Geo-Coordinates M Kleebauer, A Braun, D Horst, C Pape IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024 | 1 | 2024 |
Barometer der Energiewende für Nordhessen M Kleebauer, C Zink, S Krapf, U Müller, S Pogacar, L Kucharczak, ... Fraunhofer IEE, 2024 | | 2024 |
Sentinel-2 Super-Resolution with Real-ESRGAN using Satellite and Aerial Image Pairs and Color Correction Techniques M Kleebauer, C Marz, D Horst Konferenz der deutschen KI-Servicezentren 2024, 2024 | | 2024 |
Einfluss von Gebäudemerkmalen und soziodemografischen Faktoren auf die Eignung von Dachflächen für Photovoltaikanlagen mittels SVM-One-Class-Klassifizierung L Franken, D Horst, M Kleebauer Workshop" Simulation in den Umwelt-und Geowissenschaften" 2024, 2024 | | 2024 |
Development and Demonstration of a Sustainable Open Access AU-EU Ecosystem for Energy System Modelling: Open-Source and Data Strategy Report M Kleebauer, A Niemi, N Putkonen, J Kiviluoma, K Boodhraj, TV Reenen, ... | | 2024 |