| Application of machine and deep learning strategies for the classification of heritage point clouds E Grilli, E Özdemir, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 42 | 2019 |
| Aerial point cloud classification with deep learning and machine learning algorithms E Özdemir, F Remondino, A Golkar The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 27 | 2019 |
| The segmentation of point clouds with k-means and ANN (artifical neural network) RA Kuçak, E Özdemir, S Erol The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 26 | 2017 |
| 4D building reconstruction with machine learning and historical maps EM Farella, E Özdemir, F Remondino Applied Sciences 11 (4), 1445, 2021 | 25 | 2021 |
| Segmentation of 3D photogrammetric point cloud for 3D building modeling E Özdemir, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 23 | 2018 |
| Classification of aerial point clouds with deep learning E Özdemir, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 22 | 2019 |
| An efficient and general framework for aerial point cloud classification in urban scenarios E Özdemir, F Remondino, A Golkar Remote Sensing 13 (10), 1985, 2021 | 18 | 2021 |
| A multi-purpose benchmark for photogrammetric urban 3D reconstruction in a controlled environment E Özdemir, I Toschi, F Remondino The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 16 | 2019 |
| LOD2 Building Generation Experiences and Comparisons. IM Pârvu, F Remondino, E Özdemir Journal of Applied Engineering Sciences 8 (2), 2018 | 5 | 2018 |
| Nuvole di punti semantiche F Remondino, E Özdemir, E Grilli GEOmedia 23 (2), 2019 | 1 | 2019 |
| A stereophotogrammetric approach for driver assistance systems E Özdemir PQDT-Global, 2015 | 1 | 2015 |
| GEOSPATIAL POINT CLOUD CLASSIFICATION E ÖZDEMİR | | 2021 |
| A DEEP LEARNING FRAMEWORK FOR GEOSPATIAL POINT CLOUD CLASSIFICATION E ÖZDEMİR | | 2021 |
| Aerial Point Cloud Classification Using an Alternative Approach for the Dynamic Computation of K-Nearest Neighbors IM Pârvu, E Özdemir, F Remondino Journal of Applied Engineering Sciences 10 (2), 155-162, 2020 | | 2020 |
| VULNERABILITY ANALYSIS FOR AIR TRANSPORTATION NETWORK: A NATURAL DISASTER SCENARIO FOR TURKEY SF Hamamci, E Özdemir, H Demirel FEB-FRESENIUS ENVIRONMENTAL BULLETIN, 963, 2019 | | 2019 |
| A Study on Accessibility and Optimum Positioning ofRecycling Containers: Üsküdar Case RA Kuçak, Ö Ünsal, E Özdemir, R Uluğ | | 2017 |
| Segmentation of 3D photogrammetric point cloud E Özdemir, F Remondino | | |
