loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
Erick Lopez-Ornelas, Universidad Aut?noma Metropolitana-Unidad Cuajimalpa, M?xico
Florence Sedes, Univ. P. Sabatier, France
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.
Citation:
Erick Lopez-Ornelas, Florence Sedes, "A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images," icdmw, pp.24-28, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.