| A comparison of STARFM and an unmixing-based algorithm for Landsat and MODIS data fusion CM Gevaert, FJ García-Haro Remote Sensing of Environment 156, 34-44, 2015 | 352 | 2015 |
| Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications CM Gevaert, J Suomalainen, J Tang, L Kooistra IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 266 | 2015 |
| Using UAVs for map creation and updating. A case study in Rwanda M Koeva, M Muneza, C Gevaert, M Gerke, F Nex Survey Reveiw, 1-14, 2016 | 107 | 2016 |
| Informal settlement classification using point-cloud and image-based features from UAV data C Gevaert, C Persello, R Sliuzas, G Vosselman ISPRS Journal of Photogrammetry and Remote Sensing 125, 225–236, 2017 | 93 | 2017 |
| A deep learning approach to DTM extraction from imagery using rule-based training labels CM Gevaert, C Persello, F Nex, G Vosselman ISPRS Journal of Photogrammetry and Remote Sensing 142, 106-123, 2018 | 65 | 2018 |
| A deep learning approach to the classification of sub-decimetre resolution aerial images JR Bergado, C Persello, C Gevaert 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 60 | 2016 |
| Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects CM Gevaert, R Sliuzas, C Persello, G Vosselman ISPRS International Journal of Geo-Information 7 (3), 91, 2018 | 50 | 2018 |
| Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks A Rizaldy, C Persello, C Gevaert, S Oude Elberink, G Vosselman Remote Sensing 10 (11), 1723, 2018 | 45 | 2018 |
| Fully convolutional networks for ground classification from LiDAR point clouds A Rizaldy, C Persello, CM Gevaert, SJ Oude Elberink ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018 | 42 | 2018 |
| Combining Hyperspectral UAV and Multispectral Formostat-2 Imagery for Precision Agriculture Applications CM Gevaert, J Tang, FJ Garcia-Haro, J Suomalainen, L Kooistra WHISPERS - Workshop on Hyperspectral Image and Signal Processing: Evolution …, 2014 | 38 | 2014 |
| COMBINING HYPERSPECTRAL UAV AND MULTISPECTRAL FORMOSAT-2 IMAGERY FOR PRECISION AGRICULTURE APPLICATIONS C Gevaert Lund University, 2014 | 38 | 2014 |
| Classification of informal settlements through the integration of 2D and 3D features extracted from UAV data CM Gevaert, C Persello, R Sliuzas, G Vosselman ISPRS Ann. Photogramm. Remote Sens. Spatial Inf Sci. 3, WIII-4, 2016 | 37 | 2016 |
| Fairness and accountability of AI in disaster risk management: Opportunities and challenges CM Gevaert, M Carman, B Rosman, Y Georgiadou, R Soden Patterns 2 (11), 2021 | 36 | 2021 |
| Recent trends on glacier area retreat over the group of Nevados Caullaraju-Pastoruri (Cordillera Blanca, Peru) using Landsat imagery C Durán-Alarcón, CM Gevaert, C Mattar, JC Jiménez-Muñoz, ... Journal of South American Earth Sciences 59, 19-26, 2015 | 36 | 2015 |
| Optimizing Multiple Kernel Learning for the Classification of UAV Data CM Gevaert, C Persello, G Vosselman Remote Sensing 8 (12), 2016 | 34 | 2016 |
| The changing face of accountability in humanitarianism: Using artificial intelligence for anticipatory action MJC van den Homberg, CM Gevaert, Y Georgiadou Politics and Governance 8 (4), 456-467, 2020 | 29 | 2020 |
| Machine Learning for Disaster Risk Management V Deparday, CM Gevaert, G Molinario, R Soden, S Balog-Way World Bank, 2019 | 29 | 2019 |
| Explainable AI for earth observation: A review including societal and regulatory perspectives CM Gevaert International Journal of Applied Earth Observation and Geoinformation 112 …, 2022 | 28 | 2022 |
| Digital world meets urban planet–new prospects for evidence-based urban studies arising from joint exploitation of big earth data, information technology and shared knowledge T Esch, H Asamer, F Bachofer, J Balhar, M Boettcher, E Boissier, ... International Journal of Digital Earth, 1-22, 2018 | 28 | 2018 |
| Opportunities for UAV mapping to support unplanned settlement upgrading C Gevaert, R Sliuzas, C Persello, G Vosselman | 26* | |
Claudio PerselloUniversity of Twente, Faculty ITCVerified email at utwente.nl
