A FASTER WAY TO COMPUTE THE NOISE-ADJUSTED PRINCIPAL COMPONENTS TRANSFORM MATRIX

Authors
ROGER RE
Citation
Re. Roger, A FASTER WAY TO COMPUTE THE NOISE-ADJUSTED PRINCIPAL COMPONENTS TRANSFORM MATRIX, IEEE transactions on geoscience and remote sensing, 32(6), 1994, pp. 1194-1196
Citations number
13
Categorie Soggetti
Engineering, Eletrical & Electronic","Geosciences, Interdisciplinary","Remote Sensing
Journal title
IEEE transactions on geoscience and remote sensing → ACNP
ISSN journal
01962892
Volume
32
Issue
6
Year of publication
1994
Pages
1194 - 1196
Database
ISI
SICI code
0196-2892(1994)32:6<1194:AFWTCT>2.0.ZU;2-H
Abstract
The matrix for the noise-adjusted principal components (NAPC) transfor m is the solution of a generalized symmetric eigenvalue problem. Appli ed to remote sensing imagery, this entails the simultaneous diagonaliz ation of data and noise covariance matrices. One of the two PC transfo rms 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.