Title :
A Semi-Structured representation for Knowledge Discovering using Remote Sensing Images
Author :
Lopez-Ornelas, Erick ; Sedes, Florence
Author_Institution :
Univ. Autonoma Metropolitana-Unidad Cuajimalpa, Mexico
Abstract :
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 complementary 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
Keywords :
data mining; feature extraction; image segmentation; remote sensing; feature extraction; high-resolution satellite images; image segmentation; knowledge discovery; remote sensing images; semistructured descriptors; semistructured representation; Availability; Data mining; Feature extraction; Image edge detection; Image segmentation; Morphology; Radiometry; Remote sensing; Satellite broadcasting; Spatial resolution;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.21
