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Browse Journals & Magazines > Geoscience and Remote Sensing ...> Volume:32 Issue:6 Help

A faster way to compute the noise-adjusted principal components transform matrix

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1 Author(s)
Roger, R.E. ; Dept. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

The matrix for the noise-adjusted principal components (NAPC) transform is the solution of a generalized symmetric eigenvalue problem. Applied to remote sensing imagery, this entails the simultaneous diagonalization of data and noise covariance matrices. One of the two PC transforms of the original NAPC transform is replaced by several short, fast procedures. The total operation count for the computation of the NAPC transform matrix is halved

Published in:
Geoscience and Remote Sensing, IEEE Transactions on  (Volume:32 ,  Issue: 6 )

Date of Publication: Nov 1994

Page(s):
1194 - 1196
ISSN :
0196-2892
INSPEC Accession Number:
4861167
Digital Object Identifier :
10.1109/36.338369
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
Nov 1994
Sponsored by :
IEEE Geoscience and Remote Sensing Society

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