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
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;
Conference_Titel :
Advances in Techniques for Analysis of Remotely Sensed Data, 2003 IEEE Workshop on
Print_ISBN :
0-7803-8350-8
DOI :
10.1109/WARSD.2003.1295175
