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ORCIDRobert R. De Wulf
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2010 – 2019
- 2019
[j8]Frederick N. Numbisi
, Frieke M. B. Van Coillie, Robert R. De Wulf:
Delineation of Cocoa Agroforests Using Multiseason Sentinel-1 SAR Images: A Low Grey Level Range Reduces Uncertainties in GLCM Texture-Based Mapping. ISPRS Int. J. Geo Inf. 8(4): 179 (2019)- 2017
- [j7]Marie-Leen Verdonck, Akpona Okujeni, Sebastian van der Linden, Matthias Demuzere, Robert R. De Wulf, Frieke Van Coillie:
Influence of neighbourhood information on 'Local Climate Zone' mapping in heterogeneous cities. Int. J. Appl. Earth Obs. Geoinformation 62: 102-113 (2017) - [c5]Marie-Leen Verdonck, Frieke Van Coillie, Robert R. de Wulf, Akpona Okujeni, Sebastian van der Linden, Matthias Demuzere, Hans Hooyberghs:
Thermal evaluation of the local climate zone scheme in Belgium. JURSE 2017: 1-4 - 2015
- [c4]Frieke M. B. Van Coillie, Wenzhi Liao, Pieter Kempeneers, Kris Vandekerkhove, Sidharta Gautama, Wilfried Philips, Robert R. De Wulf:
Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies. WHISPERS 2015: 1-4 - 2014
- [j6]Zhiming Zhang, Frieke Van Coillie, Xiaokun Ou, Robert R. de Wulf:
Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China. Remote. Sens. 6(2): 1026-1056 (2014) - 2013
- [j5]Frieke Van Coillie, Flore R. Devriendt, Lieven P. C. Verbeke, Robert R. De Wulf:
Directional Local Filtering for Stand Density Estimation in Closed Forest Canopies Using VHR Optical and LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 10(4): 913-917 (2013) - 2011
- [j4]Jan Peters, Frieke Van Coillie, Toon Westra, Robert R. De Wulf:
Synergy of very high resolution optical and radar data for object-based olive grove mapping. Int. J. Geogr. Inf. Sci. 25(6): 971-989 (2011)
2000 – 2009
- 2008
- [j3]Els I. Ducheyne, Bernard De Baets, Robert R. De Wulf:
Fitness inheritance in multiple objective evolutionary algorithms: A test bench and real-world evaluation. Appl. Soft Comput. 8(1): 337-349 (2008) - 2006
- [j2]Els I. Ducheyne, Robert R. De Wulf, Bernard De Baets:
A spatial approach to forest-management optimization: linking GIS and multiple objective genetic algorithms. Int. J. Geogr. Inf. Sci. 20(8): 917-928 (2006) - 2004
- [c3]Koen C. Mertens, Bernard De Baets, Lieven P. C. Verbeke, Robert R. De Wulf:
Direct sub-pixel mapping exploiting spatial dependence. IGARSS 2004: 3046-3049 - 2003
- [c2]Els I. Ducheyne, Bernard De Baets, Robert R. De Wulf:
Is Fitness Inheritance Useful for Real-World Applications? EMO 2003: 31-42 - 2002
- [c1]Els I. Ducheyne, Robert R. De Wulf, Bernard De Baets:
Using Linkage Learning for Forest Management Planning. GECCO Late Breaking Papers 2002: 109-114
1990 – 1999
- 1993
- [j1]Franciska C. Borry, Boudewijn P. de Roover, Marc Leysen, Robert R. de Wulf, Roland E. Goossens:
Evaluation of SPOT and TM data for forest stratification: a case study for small-size poplar stands. IEEE Trans. Geosci. Remote. Sens. 31(2): 483-490 (1993)
Coauthor Index
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