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2003

Selection of Training Sets for the Characterisation of Multispectral Imaging Systems

14 years 16 days ago
Selection of Training Sets for the Characterisation of Multispectral Imaging Systems
To establish a correlation between the system output and the corresponding reflectance, the system characterisation functionDeriving the actual multispectral data from the output of the acquisition system is a key problem in the field of multispectral imaging. Solving it requires a correlation method and the training set (if any) on which the method relies. In this paper we propose two novel approaches in selecting a training set to be used for the characterisation of a multispectral acquisition system. In both cases the selected training sets will have low numerosity and broad applicability. We also test both approaches on the data obtained from a real acquisition, comparing the reconstructed reflectances with the measurements obtained using a spectrophotometre. (3))()( xrxa a must be described or estimated in some way; this is usually done by means of an empirical model based on a chosen training set and correlation method (such as, for instance, linear models1 or polynomial regressi...
Paolo Pellegri, Gianluca Novati, Raimondo Schettin
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where PICS
Authors Paolo Pellegri, Gianluca Novati, Raimondo Schettini
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