Implement MNF transform
Issue #583
new
I miss a MNF transform for increasing SNR, particularly useful in cases there is a uniform subset
or image in which calculate the noise covariance matrix (i.e., field or lab images acquired with hyperspectral imaging spectrometers).
https://www.l3harrisgeospatial.com/docs/MinimumNoiseFractionTransform.html
Comments (8)
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reporter -
Thanks for the PySptools tip. They offer some interesting hyperspectral functions (MNF, SAM, linear unmixing, etc.) widely known from good old ENVI Classic.
I will have a look at it and hopefully connect MNF and other routines to the EnMAP-Box.
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- changed version to 3.10
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assigned issue to
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assigned issue to
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- removed version
Removing version: 3.10 (automated comment)
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- changed milestone to Future Release - Nice to have
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reporter Any prospective date for this issue to be implemented?
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No , not so far.
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Note MNF is not the same as NMF (AFAIK). It seems MNF is not implemented in scikitlearn, but it is in
https://pysptools.sourceforge.io/noise.html#minimum-noise-fraction-mnf-transformation
and
http://www.spectralpython.net/
MNF is aka noise-adjusted PCA