Karhunen-Loeve analysis of multispectral data from landscapes

J. Duvernoy, J. Leger

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Statistical properties of the chromatic spectrum of landscapes are studied by Karhunen-Loève (K.L.) transform. The information is found to be compressed into a few dominant eigenvectors of the covariance matrix of multispectral data. Natural and man-made objects are shown to differ by their covariance and therefore by the distribution of their eigenvalues. Feature selection is performed by using the first eigenvector as a chromatic filter. The respective influences of three elements of the landscapes considered (i.e. vegetation, sky, and cars in a parking lot) are assessed. Further applications to the automatic classification of the content of landscapes are discussed, and a hypothesis is proposed for the origin of the chromatic response of the human eye.

Original languageEnglish (US)
Pages (from-to)39-44
Number of pages6
JournalOptics Communications
Issue number1
StatePublished - Jan 1980

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