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...

• Type: Conference
• Year: 2003
• Where: PICS
• Authors: Paolo Pellegri, Gianluca Novati, Raimondo Schettini
• Keywords: Actual Multispectral Data, Correlation Method, Image Processing, PICS 2003, Training Set