TY - JOUR
T1 - Karhunen-Loeve analysis of multispectral data from landscapes
AU - Duvernoy, J.
AU - Leger, J.
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 1980/1
Y1 - 1980/1
N2 - 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.
AB - 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.
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U2 - 10.1016/0030-4018(80)90309-0
DO - 10.1016/0030-4018(80)90309-0
M3 - Article
AN - SCOPUS:2042449882
SN - 0030-4018
VL - 32
SP - 39
EP - 44
JO - Optics Communications
JF - Optics Communications
IS - 1
ER -