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Categorization based Relevance Feedback Search Engine for Earth Observation Images Repositories

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3 Author(s)
Costache, M. ; Telecom Paris, GET, Paris ; Maitre, H. ; Datcu, M.

Presently Earth observation (EO) satellites acquire huge volumes of high resolution images very much over-passing the capacity of the users to access the information content of the acquired data. Thus, in addition to the existing methods for EO data and information extraction, new methods and tools are needed to explore and help to discover the information hidden in large EO image repositories. This article presents a categorisation based Relevance Feedback (RF) search engine for EO images repositories The developed method is presented as well results obtained for a SPOT5 satellite image database.

Published in:
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on

Date of Conference: July 31 2006-Aug. 4 2006

Page(s):
13 - 16
Print ISBN:
0-7803-9510-7
INSPEC Accession Number:
10251851
Conference Location :
Denver, CO
Digital Object Identifier :
10.1109/IGARSS.2006.8
Product Type:
Conference Publications

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