Feature Extraction Techniques for the Analysis of Spectral Polarization Profiles
This paper introduces a novel feature extraction technique for the analysis of spectral line Stokes profiles. The procedure is based on the use of an autoassociative artificial neural network containing nonlinear hidden layers. The neural network extracts a small subset of parameters from the profiles (features), from which it is then able to
Socas-Navarro, H.
Fecha de publicación:
2
2005