DocumentCode :
2108078
Title :
Content fuzzy learning for remote sensing image database systems
Author :
Bruzzo, Michele ; Dellepiane, Silvana ; Vaccaro, Roberto
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1182
Abstract :
The present work is focused on the development of a learning module for the automatic implementation of a retrieval mechanism for a remote sensing images database, on the basis of user preferences. The proposed approach learns by example from the user and is based on an innovative integration of binary decision trees and fuzzy techniques
Keywords :
content-based retrieval; decision trees; fuzzy logic; geophysics computing; image retrieval; remote sensing; visual databases; automatic implementation; binary decision trees; content fuzzy learning; fuzzy techniques; learning module; remote sensing images database; retrieval mechanism; user preferences; Content based retrieval; Data mining; Decision trees; Electrical capacitance tomography; Fuzzy systems; Image databases; Image retrieval; Information retrieval; Learning systems; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976785
Filename :
976785
Link To Document :
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