| Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling S Georganos, T Grippa, A Niang Gadiaga, C Linard, M Lennert, ... Geocarto International 36 (2), 121-136, 2021 | 276 | 2021 |
| Very high resolution object-based land use–land cover urban classification using extreme gradient boosting S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, E Wolff IEEE geoscience and remote sensing letters 15 (4), 607-611, 2018 | 251 | 2018 |
| Less is more: Optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application S Georganos, T Grippa, S Vanhuysse, M Lennert, M Shimoni, S Kalogirou, ... GIScience & remote sensing 55 (2), 221-242, 2018 | 210 | 2018 |
| Mapping urban land use at street block level using openstreetmap, remote sensing data, and spatial metrics T Grippa, S Georganos, S Zarougui, P Bognounou, E Diboulo, Y Forget, ... ISPRS International Journal of Geo-Information 7 (7), 246, 2018 | 109 | 2018 |
| An open-source semi-automated processing chain for urban object-based classification T Grippa, M Lennert, B Beaumont, S Vanhuysse, N Stephenne, E Wolff Remote Sensing 9 (4), 358, 2017 | 95 | 2017 |
| Need for an integrated deprived area “slum” mapping system (IDEAMAPS) in low-and middle-income countries (LMICs) DR Thomson, M Kuffer, G Boo, B Hati, T Grippa, H Elsey, C Linard, ... Social Sciences 9 (5), 80, 2020 | 83 | 2020 |
| The role of earth observation in an integrated deprived area mapping “system” for low-to-middle income countries M Kuffer, DR Thomson, G Boo, R Mahabir, T Grippa, S Vanhuysse, ... Remote sensing 12 (6), 982, 2020 | 77 | 2020 |
| Fully convolutional networks and geographic object-based image analysis for the classification of VHR imagery N Mboga, S Georganos, T Grippa, M Lennert, S Vanhuysse, E Wolff Remote Sensing 11 (5), 597, 2019 | 65 | 2019 |
| Mouvements migratoires et dynamiques des quartiers à Bruxelles G Van Hamme, T Grippa, M Van Criekingen Brussels studies, 2016 | 60* | 2016 |
| Towards user-driven earth observation-based slum mapping M Owusu, M Kuffer, M Belgiu, T Grippa, M Lennert, S Georganos, ... Computers, environment and urban systems 89, 101681, 2021 | 46 | 2021 |
| Scale matters: Spatially partitioned unsupervised segmentation parameter optimization for large and heterogeneous satellite images S Georganos, T Grippa, M Lennert, S Vanhuysse, BA Johnson, E Wolff Remote Sensing 10 (9), 1440, 2018 | 46 | 2018 |
| Fully convolutional networks for land cover classification from historical panchromatic aerial photographs N Mboga, T Grippa, S Georganos, S Vanhuysse, B Smets, O Dewitte, ... ISPRS Journal of Photogrammetry and Remote Sensing 167, 385-395, 2020 | 35 | 2020 |
| Extending data for urban health decision-making: a menu of new and potential neighborhood-level health determinants datasets in LMICs DR Thomson, C Linard, S Vanhuysse, JE Steele, M Shimoni, J Siri, ... Journal of urban health 96, 514-536, 2019 | 30 | 2019 |
| Improving urban population distribution models with very-high resolution satellite information T Grippa, C Linard, M Lennert, S Georganos, N Mboga, S Vanhuysse, ... Data 4 (1), 13, 2019 | 29 | 2019 |
| Normalization in unsupervised segmentation parameter optimization: A solution based on local regression trend analysis S Georganos, M Lennert, T Grippa, S Vanhuysse, B Johnson, E Wolff Remote Sensing 10 (2), 222, 2018 | 26 | 2018 |
| Modelling the wealth index of demographic and health surveys within cities using very high-resolution remotely sensed information S Georganos, AN Gadiaga, C Linard, T Grippa, S Vanhuysse, N Mboga, ... Remote Sensing 11 (21), 2543, 2019 | 25 | 2019 |
| Diversity of urban growth patterns in Sub-Saharan Africa in the 1960–2010 period E Wolff, T Grippa, Y Forget, S Georganos, S Vanhuysse, M Shimoni, ... African Geographical Review 39 (1), 45-57, 2020 | 24 | 2020 |
| A local segmentation parameter optimization approach for mapping heterogeneous urban environments using VHR imagery T Grippa, S Georganos, M Lennert, S Vanhuysse, E Wolff Remote Sensing Technologies and Applications in Urban Environments II 10431 …, 2017 | 22 | 2017 |
| Toward an operational framework for fine-scale urban land-cover mapping in Wallonia using submeter remote sensing and ancillary vector data B Beaumont, T Grippa, M Lennert, S Vanhuysse, N Stephenne, E Wolff Journal of Applied Remote Sensing 11 (3), 036011-036011, 2017 | 18 | 2017 |
| Gridded urban deprivation probability from open optical imagery and dual-pol sar data S Vanhuysse, S Georganos, M Kuffer, T Grippa, M Lennert, E Wolff 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2110 …, 2021 | 17 | 2021 |
Stefanos GeorganosAssociate Professor (Docent), Karlstad University, Geomatics Unit /Affiliate with ULB在 kau.se 的电子邮件经过验证
