Hi,
The -io.confmap option does not exist in the TrainImagesClassifier application.
There is an -io.confmatout option to compute the confusion matrix.
However, the ImageClassifier application has the -confmap option which
generates what you want: a raster image with the confidence estimated for each
pixel in the classification. The confidence is estimated in a different way
depending on the classification algorithm. From the documentation:
" - LibSVM : difference between the two highest probabilities (needs a
model with probability estimates, so that classes probabilities can be computed
for each sample)\n"
" - OpenCV\n"
" * Boost : sum of votes\n"
" * DecisionTree : (not supported)\n"
" * GradientBoostedTree : (not supported)\n"
" * KNearestNeighbors : number of neighbors with the same label\n"
" * NeuralNetwork : difference between the two highest responses\n"
" * NormalBayes : (not supported)\n"
" * RandomForest : Confidence (proportion of votes for the majority
class). Margin (normalized difference of the votes of the 2 majority classes)
is not available for now.\n"
Jordi
CK <[email protected]> wrote:
>
> Hi everyone !
>
> I'm new on OTB (5.6 & 5.8) and I have some questions about the possibility to
> get the probability of belonging of a pixel to a class (after or during a
> classification).
>
> I tried to use the -io.confmap "option" of the otbcli_TrainImagesClassifier
> tools but I only get a matrix on my samples.
> In fact, I would like to obtain a raster on my entire aoi with a value
> (between 0 and 1) for each pixel.
>
> I also saw in a previous post on the group the possibility to call the
> EvaluateProbabilities.
> I'm not very familiar with this so do you know if there is any other way to
> have my probability raster for my classification (using a pre-existing tools
> may be) ?
>
> Thanks in advance for your help !
> C.
>
> --
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