Patent ID: 8942424
Filing Date: 2015-01-27
Classification: G06K,H03K

Abstract:
1. The method comprising: providing training hyperspectral data and at least one optical filter, simulating expected band-averaged spectral radiances image vector from the training hyperspectral data and at least one filter transmittance function corresponding to the at least one optical filter; simulating measured band-averaged spectral radiances image vector from the training hyperspectral data and the at least one transmittance function; providing a cost function comprising total errors between the simulated expected band-averaged spectral radiances image vector and the simulated measured band-averaged spectral radiances image vector, and an out-of-band transform matrix parameter; optimizing the cost function by applying a least-squares best fit to the cost function using the out-of-band transform matrix parameter to generate a linear out-of-band correction transform; calculating a cross-correlation matrix of an expected band-averaged spectral radiances image vector and the realistic measured band-averaged spectral radiances image vector; calculating an auto-correlation matrix of the realistic measured band-averaged spectral radiances image vector; generating an optimal out-of-band transform matrix by matrix-multiplying the cross-correlation matrix and an inverse of the auto-correlation matrix; providing a realistic measured band-averaged spectral radiances image vector from the at least one optical filter; and generating a realistic recovered band-averaged spectral radiances image vector by matrix-multiplying the optimal out-of-band transform matrix and the realistic measured band-averaged spectral radiances image vector, the realistic recovered band-averaged spectral radiances image vector being free of out-of-band effects.