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Last Post 01 Jun 2017 11:40 AM by  MariM
error matrix for unsupervised classification
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khaled zerroug



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31 May 2017 08:15 AM
    Hi,
    I work on a diachronic map of vegetation, I use RGB NDVI technique , this technique is based on the use of three ndvi taken in three different dates to quantify the change of the green biomass through the three dates (in my case : 1984, 2001, 2011), In this technique a non-supervised classification was used to quantify the changes. Currently, I find a problem to produce the matrix of confusion, When I read in the literature authors says that the matrix of confusion is done on the basis of ROI collected from ground field , in my case it is impossible to collect points view that the dates are very distant (1984,2001,2011)....thank you.
    Thank you very much.

    MariM



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    01 Jun 2017 11:40 AM
    Evaluating the accuracy of a classification requires some sort of ground truth for comparison. It does not necessarily need to be field collected data. This sort of information could be taken from another image of known accuracy or from points/ROIs of areas of known materials taken from another image. Perhaps these sources could be more easily obtained?
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