A comparative analysis of standardised and unstandardised Principal Components Analysis in remote sensing
- 10 May 1993
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 14 (7) , 1359-1370
- https://doi.org/10.1080/01431169308953962
Abstract
In this study Principal Components have been calculated using covariance and correlation matrices for Tour data sets: Monthly NOAA-NDVI maximum-value composites, NOAA-LAC data, Landsat-TM data, and SPOT multi-spectral data. An analysis of the results shows consistent improvements in the signal to noise ratio (SNR) using the correlation matrix in comparison to the covariance matrix in the principal components analysis for all the data setsKeywords
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