Eléonore Wolff
Eléonore Wolff
Université Libre de Bruxelles
Verified email at
Cited by
Cited by
Assessment of very high spatial resolution satellite image segmentations
AP Carleer, O Debeir, E Wolff
Photogrammetric Engineering & Remote Sensing 71 (11), 1285-1294, 2005
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
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
Exploitation of very high resolution satellite data for tree species identification
A Carleer, E Wolff
Photogrammetric Engineering & Remote Sensing 70 (1), 135-140, 2004
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
Urban land cover multi‐level region‐based classification of VHR data by selecting relevant features
AP Carleer, E Wolff
International Journal of Remote Sensing 27 (6), 1035-1051, 2006
Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and WorldView-2 data
A Ramoelo, MA Cho, R Mathieu, S Madonsela, R Van De Kerchove, ...
International journal of applied earth observation and geoinformation 43, 43-54, 2015
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
Multi-phenology WorldView-2 imagery improves remote sensing of savannah tree species
S Madonsela, MA Cho, R Mathieu, O Mutanga, A Ramoelo, Ż Kaszta, ...
International Journal of Applied Earth Observation and Geoinformation 58, 65-73, 2017
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
Textural and contextual land-cover classification using single and multiple classifier systems
O Debeir, I Van den Steen, P Latinne, P Van Ham, E Wolff
Photogrammetric Engineering and Remote Sensing 68 (6), 597-606, 2002
Using local climate zones in Sub-Saharan Africa to tackle urban health issues
O Brousse, S Georganos, M Demuzere, S Vanhuysse, H Wouters, E Wolff, ...
Urban climate 27, 227-242, 2019
Seasonal separation of African savanna components using worldview-2 imagery: a comparison of pixel-and object-based approaches and selected classification algorithms
Ż Kaszta, R Van De Kerchove, A Ramoelo, MA Cho, S Madonsela, ...
Remote Sensing 8 (9), 763, 2016
Segmentation of very high spatial resolution satellite images in urban areas for segments-based classification
E Frauman, E Wolff
Proceedings for 3rd International Symposium Remote Sensing and Data Fusion …, 2005
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
Comparison of very high spatial resolution satellite image segmentations
AP Carleer, O Debeir, E Wolff
Image and signal processing for remote sensing IX 5238, 532-542, 2004
Effects of historical urbanization in the Brussels Capital Region on surface air temperature time series: a model study
R Hamdi, A Deckmyn, P Termonia, GR Demarée, P Baguis, S Vanhuysse, ...
Journal of Applied Meteorology and Climatology 48 (10), 2181-2196, 2009
Extraction of land use/land cover related information from very high resolution data in urban and suburban areas
T Van de Voorde, W De Genst, F Canters, N Stephenne, E Wolff, M Binard
Remote Sensing in Transition. Proceedings of the 23rd Symposium of the …, 2004
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
Region-based classification potential for land-cover classification with very high spatial resolution satellite data
AP Carleer, E Wolff
Proceedings of 1st International Conference on Object-based Image Analysis …, 2006
The system can't perform the operation now. Try again later.
Articles 1–20