A spectral reflectance representation for recognition and reproduction
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]
|Collections||ANU Research Publications|
|Source:||Proceedings - International Conference on Pattern Recognition|
|01_Ratnasingam_A_spectral_reflectance_2012.pdf||437.89 kB||Adobe PDF||Request a copy|
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