DocumentCode
2936695
Title
Combining feature extractions and classifiers for multispectral data classification
Author
Kuo, Bor-Chen ; Ko, Li-Wei ; Yang, Jinn-Min ; Pai, Chia-Hao
Author_Institution
Dept. of Math. Educ., Nat. Taichung Teachers Coll., Taiwan
fYear
2003
fDate
27-28 Oct. 2003
Firstpage
73
Lastpage
75
Abstract
In this paper, a new sequential feature extraction and classification algorithm is proposed for improving the classification accuracy of reject region data.
Keywords
feature extraction; pattern classification; spectral analysis; Hughes phenomenon; classification algorithm; classifiers; multispectral data classification; regularized feature extraction; reject region data; sequential feature extraction; Classification algorithms; Data mining; Decision making; Educational institutions; Feature extraction; Mathematics; Pattern recognition; Probability; Statistics; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
Print_ISBN
0-7803-8350-8
Type
conf
DOI
10.1109/WARSD.2003.1295175
Filename
1295175
Link To Document