DocumentCode
1540384
Title
Robust classification of multispectral data using multiple neural networks and fuzzy integral
Author
Kumar, A. Senthil ; Basu, S.K. ; Majumdar, K.L.
Author_Institution
Image Process. & Products Div., Space Applications Centre, Ahmedabad, India
Volume
35
Issue
3
fYear
1997
fDate
5/1/1997 12:00:00 AM
Firstpage
787
Lastpage
790
Abstract
The use of fuzzy integral (FI) for combining an ensemble of neural networks is proposed for multispectral data classification. The FI is further employed for integrating original data with its smoothed version. In both cases, the FI combine is found to be superior to that of their individual classification performance
Keywords
fuzzy neural nets; geophysical signal processing; geophysical techniques; geophysics computing; image classification; remote sensing; data classification; fuzzy integral; geophysical measurement technique; image classification; land surface; multiple neural net; multiple neural network; multispectral method; optical imaging; remote sensing; robust classification; terrain mapping; Backpropagation; Convergence; Feeds; Fuzzy neural networks; Layout; Neural networks; Remote sensing; Robustness; Testing; Training data;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.582004
Filename
582004
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