| Deep supervised learning for hyperspectral data classification through convolutional neural networks K Makantasis, K Karantzalos, A Doulamis, N Doulamis 2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015 | 813 | 2015 |
| Building detection in very high resolution multispectral data with deep learning features M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios 2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015 | 316 | 2015 |
| Recognition-driven two-dimensional competing priors toward automatic and accurate building detection K Karantzalos, N Paragios IEEE Transactions on Geoscience and Remote Sensing 47 (1), 133-144, 2008 | 139 | 2008 |
| Vehicle detection and traffic density monitoring from very high resolution satellite video data G Kopsiaftis, K Karantzalos 2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015 | 94 | 2015 |
| Detecting urban changes with recurrent neural networks from multitemporal Sentinel-2 data M Papadomanolaki, S Verma, M Vakalopoulou, S Gupta, K Karantzalos IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 91 | 2019 |
| Leaf area index estimation in vineyards from UAV hyperspectral data, 2D image mosaics and 3D canopy surface models I Kalisperakis, C Stentoumis, L Grammatikopoulos, K Karantzalos The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2015 | 88 | 2015 |
| Object-based image analysis through nonlinear scale-space filtering A Tzotsos, K Karantzalos, D Argialas ISPRS Journal of Photogrammetry and Remote Sensing 66 (1), 2-16, 2011 | 80 | 2011 |
| Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings K Karantzalos, D Argialas International Journal of Remote Sensing 27 (24), 5427-5434, 2006 | 79 | 2006 |
| Monitoring urban changes based on scale-space filtering and object-oriented classification G Doxani, K Karantzalos, M Tsakiri-Strati International Journal of Applied Earth Observation and Geoinformation 15, 38-48, 2012 | 77 | 2012 |
| A region-based level set segmentation for automatic detection of man-made objects from aerial and satellite images K Karantzalos, D Argialas Photogrammetric Engineering & Remote Sensing 75 (6), 667-677, 2009 | 73 | 2009 |
| Multitemporal very high resolution from space: Outcome of the 2016 IEEE GRSS data fusion contest L Mou, X Zhu, M Vakalopoulou, K Karantzalos, N Paragios, B Le Saux, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 72 | 2017 |
| Benchmarking deep learning frameworks for the classification of very high resolution satellite multispectral data M Papadomanolaki, M Vakalopoulou, S Zagoruyko, K Karantzalos ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2016 | 69 | 2016 |
| Automatic detection and tracking of oil spills in SAR imagery with level set segmentation K Karantzalos, D Argialas International Journal of Remote Sensing 29 (21), 6281-6296, 2008 | 69 | 2008 |
| Large-scale building reconstruction through information fusion and 3-d priors K Karantzalos, N Paragios IEEE Transactions on Geoscience and Remote Sensing 48 (5), 2283-2296, 2010 | 61 | 2010 |
| Big data concepts, theories, and applications S Yu, S Guo Springer, 2016 | 60 | 2016 |
| Towards automatic olive tree extraction from satellite imagery KG Karantzalos, DP Argialas Geo-Imagery Bridging Continents. XXth ISPRS Congress, 12-23, 2004 | 49 | 2004 |
| Deep learning-based man-made object detection from hyperspectral data K Makantasis, K Karantzalos, A Doulamis, K Loupos Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 48 | 2015 |
| Correcting image refraction: Towards accurate aerial image-based bathymetry mapping in shallow waters P Agrafiotis, K Karantzalos, A Georgopoulos, D Skarlatos Remote Sensing 12 (2), 322, 2020 | 47 | 2020 |
| Remotely sensing the source and transport of marine plastic debris in Bay Islands of Honduras (Caribbean Sea) A Kikaki, K Karantzalos, CA Power, DE Raitsos Remote Sensing 12 (11), 1727, 2020 | 44 | 2020 |
| A novel object-based deep learning framework for semantic segmentation of very high-resolution remote sensing data: Comparison with convolutional and fully convolutional networks M Papadomanolaki, M Vakalopoulou, K Karantzalos Remote Sensing 11 (6), 684, 2019 | 44 | 2019 |
