A spectral reflectance representation for recognition and reproduction
Ratnasingam, Sivalogeswaran; Robles-Kelly, Antonio
In this paper we present a method to recover a spectra representation for reproduction and recognition on multispectral imagery. To do this, we commence by viewing the spectra in the image as a mixture which can be expressed in terms of the sample mean and a set of basis vectors and weights. This treatment leads to an MAP approach where the sample means is given by the centers yielded by the application of the k-means clustering algorithm and the basis vectors are the eigenvectors of the...[Show more]
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|Source:||Proceedings - International Conference on Pattern Recognition|
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