DocumentCode :
3649213
Title :
A semantic framework for data retrieval in large remote sensing databases
Author :
Teodor Costăchioiu;Iulian Niţă;Vasile Lăzărescu;Mihai Datcu
Author_Institution :
Politehnica University of Bucharest, Bucharest, Romania
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
5285
Lastpage :
5288
Abstract :
Remote sensing platforms acquire huge amounts of data every day. As a result, large archives of data have been created. In order to provide access to this data efficient search and retrieval methods have to be developed, such as image information mining systems. In this paper we present a framework for an image information mining system using the Latent Dirichlet Allocation text-mining algorithm to provide a high-level semantic model of data, the search being performed in the LDA model space.
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-7003
Type :
conf
DOI :
10.1109/IGARSS.2012.6352416
Filename :
6352416
Link To Document :
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