PUBLICATIONS

Publications

• E. Raczko, B. Zagajewski, 2018: Tree species classification of the UNESCO Man and the Biosphere Karkonoski National Park (Poland) using artificial neural networks and APEX hyperspectral images. Remote Sensing, 10(7):1111

• I. Maria Pârvu, F. Remondino and E. Ozdemir, 2019: LOD2 Building Generation Experiences and Comparisons. Journal of Applied Engineering Sciences

• X. Wang, T. Xiao, M. Gruber, C. Heipke, 2019: Robustifying relative orientations with respect to Repetitive Structures and Very Short Baselines for Global SfM. IEEE CVPR workshop PCV

• I. M. Pârvu, I. A. Cuibac Picu, P.I. Dragomir and D. Poli, 2020: Urban Classification from Aerial and Satellite Images. Journal of Applied Engineering Sciences

• I.M. Pârvu, E. Özdemir and F. Remondino, 2020: Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors. Journal of Applied Engineering Sciences

• I.A. Cuibac Picu, P. Dragomir and R. Peters, 2020: The Future of Mapping – 3D Maps, the Comparison of two of the Most Used Methods in Photogrammetric Field. Journal of Applied Engineering Sciences

• A. Pârvu, M. Dogaru, N. Pffeier, 2020: LiDAR Initiatives at the National Center of Cartography Romania - 2D–3D data fusion research in the VOLTA project. LiDAR Magazine

• A. Sabat-Tomala, E. Raczko, B. Zagajewski, 2020: Comparison of Support Vector Machine and Random Forest Algorithms for Invasive and Expansive Species Classification using Airborne Hyperspectral Data. Remote Sensing, 12(3):516

• I.M. Pârvu, 2021: Contributions to the automation of geospatial data extraction for 3D modelling. PhD Thesis, Doctoral School of Technical University of Bucharest, Romania

• B. Zagajewski, M. Kluczek, E. Raczko, A. Njegovec, A. Dabija, M. Kycko, 2021: Comparison of Random Forest, Support Vector Machines, and Neural Networks for Post-Disaster Forest Species Mapping of the Krkonoše/Karkonosze Transboundary Biosphere Reserve. Remote Sensing, 13(13):2581

• I.A. Cuibac Picu, 2021: Contributions to creation of Smart Cities. PhD Thesis, Doctoral School of Technical University of Bucharest, Romania

• M. Dąbski, A. Zmarz, M. Rodzewicz, M. Korczak-Abshire, I. Karsznia, K. Lach, G. Rachlewicz, C. Chwedorzewska, 2021: Mapping Glacier Forelands Based on UAV BVLOS Operation in Antarctica. Remote Sensing, 12(4):630

• A. Dabija, M. Kluczek, B. Zagajewski, E. Raczko, M. Kycko, A. H. Al-Sulttani, A. Tardà, L. Pineda, J. Corbera, 2021: Comparison of Support Vector Machines and Random Forests for Corine Land Cover Mapping. Remote Sensing, 13(4):777

• C. Kruse, D. Wittich, F. Rottensteiner, C. Heipke, 2022: Generating impact maps from bomb craters automatically detected in aerial wartime images using marked point processes. ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol.5, 100017

• M. Kluczek, B. Zagajewski, M. Kycko, 2022: Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping. Remote Sensing, 14(5):1209

• M. Kycko, B. Zagajewski, M. Kluczek, A. Tardà, L. Pineda, V. Palà, J. Corbera, 2022: Sentinel-2 and AISA Airborne Hyperspectral Images for Mediterranean Shrubland Mapping in Catalonia. Remote Sensing, 14(21):5531.

• R. Peters, B. Dukai, S. Vitalis, J. van Liempt and J. Stoter, 2022: Automated 3D reconstruction of LOD2 and LOD1 models for all 10 million buildings of the Netherlands. Photogrammetric Engineering and Remote Sensing, 88(3)