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