Wtfa img: Difference between revisions
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* '''window''' = 2 element vector containing the window width in the x- and y-directions {each element should be > 1} (Note: if a scalar is input then the window in both directions is set to the scalar). | * '''window''' = 2 element vector containing the window width in the x- and y-directions {each element should be > 1} (Note: if a scalar is input then the window in both directions is set to the scalar). | ||
: '''p''' = The number of principal components, PCs, for modeling each window of spectra. | : '''p''' = The number of principal components, PCs, for modeling each window of spectra. | ||
::p >= 1: (integer) number PCs is a constant p, | ::<tt>p >= 1</tt>: (integer) number PCs is a constant p, | ||
::0 < p < 1: sets a relative criterion for selecting number of PCs in each window i.e. only the first set of PCs that together capture >=p*100% of the variance in the window are used | ::<tt>0 < p < 1</tt>: sets a relative criterion for selecting number of PCs in each window i.e. only the first set of PCs that together capture >=p*100% of the variance in the window are used | ||
::p < 0: sets an absolute value for number of PCs i.e. factors with singular values <|p| are not used. | ::<tt>p < 0</tt>: sets an absolute value for number of PCs i.e. factors with singular values <|p| are not used. | ||
====Outputs==== | ====Outputs==== | ||
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===See Also=== | ===See Also=== | ||
[[evolvfa]], [[ewfa]], [[ewfa_img]], [[pca]], [[wtfa]] | |||
Latest revision as of 20:32, 29 September 2009
Purpose
Window target factor analysis for images.
Synopsis
- [rho,angl,q] = wtfa_img(spec,tspec,window,p,options)
Description
Inputs
- spec = MxNxP 3-way data matrix/image (spatial modes 1 and 2 MxN, and spectral mode is 3 w/ P channels).
- tspec = KxP matrix of target/candidate spectra.
- window = 2 element vector containing the window width in the x- and y-directions {each element should be > 1} (Note: if a scalar is input then the window in both directions is set to the scalar).
- p = The number of principal components, PCs, for modeling each window of spectra.
- p >= 1: (integer) number PCs is a constant p,
- 0 < p < 1: sets a relative criterion for selecting number of PCs in each window i.e. only the first set of PCs that together capture >=p*100% of the variance in the window are used
- p < 0: sets an absolute value for number of PCs i.e. factors with singular values <|p| are not used.
Outputs
- rho = direction cosine between tspec and a p component PCA model of (spec) in each window.
- angl = angle between targets and PCA model [= acos(rho)].
- q = Q residuals.
Options
options = a structure array with the following fields:
- plots: [ 'off' | {'angle'} | 'rho' | 'q' ]
- 'off' : nothing is plotted,
- 'angle' : projection angle (angle) plotted {default},
- 'rho' : direction cosine (rho) are plotted, or
- 'q' : Q residuals (q) are plotted.
- inds: [ ] a 2 column matrix of indices corresponding to the location in the image to test {default uses entire image}.