Abstract
In this paper we describe the basic functionality of a system dedicated to process spatial information (high-resolution satellite image) and to handle it 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 complementarily of two approaches, on one hand concerning the segmentation of spatial information, and on the other hand concerning the knowledge discovery and the modeling.
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Lopez-Ornelas, E., Flouzat, G. (2008). Implicit Spatial Information Extraction from Remote Sensing Images. In: Ruas, A., Gold, C. (eds) Headway in Spatial Data Handling. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68566-1_8
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DOI: https://doi.org/10.1007/978-3-540-68566-1_8
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