A comparative analysis of standardised and unstandardised Principal Components Analysis in remote sensing
作者:
L. EKLUNDH,
A. SINGH,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1993)
卷期:
Volume 14,
issue 7
页码: 1359-1370
ISSN:0143-1161
年代: 1993
DOI:10.1080/01431169308953962
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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 sets
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