Accuracy Assessment in SNAP

Is there any way in SNAP to assess the classification accuracy of two classified map (e.g., confusion matrix in ENVI or PCI)?


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There is no support for this in SNAP yet.
But you can export the data as CSV for example and do it with external tools. Python, Excel or in ENVI


Dear Marpet,

I also want to assess the lclu classification accuracy from H/A/alpha Wishart classification using SNAP. Could you please let me know step by step if we using CVS file?

Thanks a lot in advance.


I have no knowledge about H/A/alpha Wishart classification. So I’m sorry but I can’t help.

Hi, it seems to me that snap still doesn’t have any way of evaluating the final accuracy of a classification process (MAXVER, Kmeans, RNN,…?) correct? is there any intention to do it soon? thanks a lot.

It’s not implemented, but you can manually calculate it. An example is given at the end of this tutorial: Landcover classification with Sentinel-1 GRD

Hi ABraun, thanks a lot. I’l try it.