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Problem in the MSAM #64
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Also clear that the classification through msam is possible?How? |
The last dimension of |
Thanks for reply.I corrected it.But how to do classification using msam?Please Provide example if possible. |
SAM and MSAM do not do classification. They perform spectral unmixing. The returned array indicates the fractional abundance of each endmember for each pixel in the |
but it includes in the classification in the documentation.
…On Sat, Apr 15, 2017 at 4:09 AM, Thomas Boggs ***@***.***> wrote:
SAM and MSAM do not do classification. They perform spectral unmixing. The
returned array indicates the fractional abundance of each endmember for
each pixel in the data argument.
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That's for organizational purposes. Those two algorithms don't select a class. They give an estimate of how much of each class is present in a pixel. If you really want to use them for classification, you can pick the class with the highest abundance or use the abundance vectors in a subsequent classifier. |
I am want to do the msam like below.
But it gives error:
AssertionError: Matrix dimensions are not aligned.
where M=>(210 row,275 column,425 band) shape and n1=(425 bandreflectance,16 spectra)
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