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Hyperspectral Deconvolution

The problem in Equation 15.1 is that the FT(PSF) approaches zero at high frequencies, whereas the measured image does not. In practice, we solve this problem by applying a mathematical filter to allow all spatial frequencies below a certain threshold to contribute to the reconstructed image. The filter has a structure [Pg.591]

In this color scale, red (blue) corresponds to a high (low) integrated intensity. [Pg.593]


Present commercial multivariate analysis software is based on techniques that are more than 20 years old. It is necessary to develop better analysis and data extraction techniques for elucidating more and different kinds of information from an image. In particular, this includes user-friendly multivariate analysis tools and hyperspectral imaging deconvolution and analysis. [Pg.21]


See other pages where Hyperspectral Deconvolution is mentioned: [Pg.202]    [Pg.203]    [Pg.61]    [Pg.590]    [Pg.592]    [Pg.592]   


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Deconvolution

Deconvolutions

Hyperspectral

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