I have some questions regarding how SNAP does classification on more than one image (multidimensional data). I did already classification in SNAP over multidimensional data (for example like 2 or 3 images) by RF and ML classifier but now I plan to do SVM classification in Matlab that’s why I need some helps:
For svm classification method we should follow these steps (I think SNAP does also this):
- select training data
- train a classifier model
- use trained classifier model for classifying a band(for example cohehernce)
Now I can train a svm classifier model based on these trading bands:
now based on choosed option we have a classifier model.
We can apply the classifier model on “image1” or “image2” or “image3” separately.
But I do not know how about combination of “image1+image2” or “image2+image3” or “image1+image3”. Would you please guide me?