Prof. Dr. Jens Bongartz
FB Mathematik, Informatik, Technik, Hochschule Koblenz
- 02642/932-427
- 02642/932-399
Weber, Immanuel; Bongartz, Jens; Roscher, Ribana
Augmented Aerial Reality: On Fusing Synthetic and Real Airborne Imagery for Object DetectionIEEE International Geoscience and Remote Sensing Symposium - IGARSS 2022. Kuala Lumpur, Malaysia: IEEE 2022
Rommel, Edvinas; Giese, Laura; Fricke, Katharina et al.
Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate TypesRemote Sensing. Bd. 14. H. 4. MDPI AG 2022 S. 954
Bongartz, Jens; Weber, I.; Roscher, J.
Artificial and beneficial : Exploiting artificial images for aerial vehicle detectionISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. 2021. Katlenburg-Lindau: Copernicus 2021 o.A.
Jenal, Alexander; Hüging, Hubert; Ahrends, Hella Ellen et al.
Investigating the Potential of a Newly Developed UAV-Mounted VNIR/SWIR Imaging System for Monitoring Crop Traits : A Case Study for Winter WheatRemote Sensing. Bd. 13. H. 9. MDPI 2021 S. 1697
Fricke, Katharina; Baschek, Björn; Jenal, Alexander et al.
Observing Water Surface Temperature from Two Different Airborne Platforms over Temporarily Flooded Wadden Areas at the Elbe Estuary : Methods for Corrections and AnalysisRemote Sensing. Bd. 13. H. 8. MDPI 2021 S. 1489
Jenal, Alexander; Lussem, Ulrike; Bolten, Andreas et al.
Investigating the Potential of a Newly Developed UAV-based VNIR/SWIR Imaging System for Forage Mass MonitoringJournal of Photogrammetry, Remote Sensing and Geoinformation Science : PFG ; Photogrammetrie, Fernerkundung, Geoinformation. Bd. 88. H. 6. Heidelberg: Springer 2020 S. 493 - 507
Weber, I.; Bongartz, J.; Roscher, R.
Learning with Real-World and Artificial Data for Improved Vehicle Detection in Aerial ImageryISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Bd. V-2-2020. Katlenburg-Lindau: Copernicus 2020 S. 917 - 924
Jenal, Alexander; Bareth, Georg; Bolten, Andreas et al.
Development of a VNIR/SWIR Multispectral Imaging System for Vegetation Monitoring with Unmanned Aerial VehiclesSensors. Bd. 19. H. 24. Basel: MDPI 2019 S. 5507
Fricke, Katharina; Baschek, Björn; Asgari, Maryam et al.
Modern sensors and airborne remote sensing for the mapping of vegetation and hydromorphology along Federal waterways in GermanySan Francisco. 2019 AGU Fall Meeting: 9.-13. Dezember 2019; B31M-2483 (Poster)
Fricke, Katharina; Baschek, Björn; Jenal, Alexander et al.
Correction and evaluation of thermal infrared data acquired with two different airborne systems at the Elbe estuaryBostater, Charles R.; Neyt, Xavier; Nichol, Caroline; Aldred, Oscar (Hrsg). Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016 : 26-27 September 2016, Edinburgh, United Kingdom. Bellingham, Wash.: SPIE 2016 9999OE / 9999-12