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Proceedings Paper

Indexing and retrieval in large satellite image databases
Author(s): Henri Maître
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Paper Abstract

We are presenting a global scheme devoted to the management of very large databases of remote sensing images, with a specific attention to high resolution images. We show at first the specificities of indexing satellite images. Then we present the different stages of a global system, mostly based on textural feature detection and SVM classification, for indexing and retrieving parts of satellite images with given properties. We show the role of the semantic information extraction and we propose to experiment three different manners to introduce such a semantic information in the query system and to adapt the data to the user's demand.

Paper Details

Date Published: 14 November 2007
PDF: 15 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 679002 (14 November 2007); doi: 10.1117/12.775018
Show Author Affiliations
Henri Maître, GET Télécom-Paris, CNES-DLR-ENST (France)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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