The Utility of Very High Spatial Resolution Images to Identify Urban Objects, Geocarto International, vol.63, issue.1, pp.33-44, 2002. ,
DOI : 10.1080/01431168208948387
URL : https://hal.archives-ouvertes.fr/halshs-00523199
Progressing from objectbased to object-oriented image analysis, " in Object-Based Image Analysis , ser. Lecture Notes in Geoinformation and Cartography, pp.29-42, 2008. ,
Object based image analysis for remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, vol.65, issue.1, pp.2-16, 2010. ,
DOI : 10.1016/j.isprsjprs.2009.06.004
Hierarchical Texture-Based Segmentation of Multiresolution Remote-Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol.47, issue.7, pp.2129-2141, 2009. ,
DOI : 10.1109/TGRS.2008.2010708
Automatic Detection of Geospatial Objects Using Multiple Hierarchical Segmentations, IEEE Transactions on Geoscience and Remote Sensing, vol.46, issue.7, pp.2097-2111, 2008. ,
DOI : 10.1109/TGRS.2008.916644
Binary partition tree as an efficient representation for image processing, segmentation, and information retrieval, IEEE Transactions on Image Processing, vol.9, issue.4, pp.561-576, 2000. ,
DOI : 10.1109/83.841934
URL : http://gps-tsc.upc.es/imatge/pub/ps/IEEE_IP00_Salembier_Garrido.pdf
Wavelets for a vision, Proceedings of the IEEE, vol.84, issue.4, pp.604-614, 1996. ,
DOI : 10.1109/5.488702
Hierarchical urban object extraction from high resolution remotely sensed imagery based on Wavelet Transform and Support Vector Machine, 2009 Joint Urban Remote Sensing Event, pp.1-6, 2009. ,
DOI : 10.1109/URS.2009.5137658
Information fusion for rural land-use classification with high-resolution satellite imagery, IEEE Transactions on Geoscience and Remote Sensing, vol.41, issue.4, pp.883-890, 2003. ,
Distinguishing urban land-use categories in fine spatial resolution land-cover data using a graph-based, structural pattern recognition system, Computers, Environment and Urban Systems, vol.21, issue.3-4, pp.209-225, 1997. ,
DOI : 10.1016/S0198-9715(97)10001-1