You can do this with Bio7 and R. I’ve created several functions to transfer multiple Image selections (ROI’s in the ROI Manager) from all opened images or a stack to R (like an image selection cutter through all opened images or the whole stack). For each transfer you can select a signature. In R you can concatenate them for you classification purposes.
Here an older video:
However it is now possible to transfer selected ROI’s of the ROI Manager with it’s signature (class) instead of all ROI’s of the ROI Manager (like in ImageJ - no selection means all!).
Some simple R classification scripts can be found here:
By the way:
Just recently I released an update for Windows and Mac with two new scripts to combine matrices rows in R and to rename multiple selected ROI’s in the ROI Manager.
An ImageJ feature stack exported from the weka plugin can be imported in the ImageJ plugin of Bio7 for a transfer of selected features(layers).
There are some R packages which can compute additional features for combination like GLCM matrices:
And of course you can use, e.g., PCA to reduce the dimensionality of your feature classification stack.
@Sam_Davidson In the past I did a classification of Landsat images (with a PCA reduced feature stack). There is a Landsat package available, too:
But you can simply import the tiffs in ImageJ (georeferencing lost) and then classify the image with the selected feature stack. In R you can georeference the classification result for export, etc.