IEEE - Institute of Electrical and Electronics Engineers, Inc. - A comparative study of remotely sensed data classification using principal components analysis and divergence

1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation

Author(s): Chih-Cheng Hung ; Fahsi, A. ; Tadesse, W. ; Coleman, T.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 1997
Conference Location: Orlando, FL, USA, USA
Conference Date: 12 October 1997
Volume: 3
ISBN (Paper): 0-7803-4053-1
ISSN (Paper): 1062-922X
DOI: 10.1109/ICSMC.1997.635294
Regular:

This paper investigates the principal components analysis (PCA) and divergence for transforming and selecting data bands for multispectral image classification. As the principal components are... View More

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