2013 IEEE 13th International Conference on Data Mining Workshops (2006)
Hong Kong, China
Dec. 18, 2006 to Dec. 22, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.21
Florence Sedes , Univ. P. Sabatier, France
Erick Lopez-Ornelas , Universidad Aut?noma Metropolitana-Unidad Cuajimalpa, M?xico
In this paper we describe the basic functionalities of a system dedicated to process high-resolution satellite images and to handle them through (semi-) structured descriptors. These descriptors enable to manage in a unified representation two families of features extracted from the objects identified by image segmentation: the attributes characterizing each object, and the attributes characterizing relationships between objects. Our aim is to focus on the complementarity of two approaches, on one hand concerns the remote sensing and the image segmentation, and on the other hand concerns the knowledge discovery and the modeling.
Florence Sedes, Erick Lopez-Ornelas, "A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images", 2013 IEEE 13th International Conference on Data Mining Workshops, vol. 00, no. , pp. 24-28, 2006, doi:10.1109/ICDMW.2006.21