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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
earth and planetary sciences
A comparative analysis of standardised and unstandardised principal components analysis in remote sensing
International Journal of Remote Sensing, Volume 14, No. 7, Year 1993
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Description
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. © 1993 Taylor & Francis Ltd.
Authors & Co-Authors
Eklundh, Lars R.
Kenya, Nairobi
United Nations Environment Programme
Singh, Ashbindu
United States, Reston
United States Geological Survey
Statistics
Citations: 152
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1080/01431169308953962
ISSN:
01431161
e-ISSN:
13665901