Dear All, I have a question about implementing obect-based classification of oil spills in SAR images. After segmentation, I have run TrainVectorClassifier on one image. Problem is that oil spills can vary in size and shape (rather curved, elongated, etc) and I would like to improve the training step by adding more varied training data, that is from more than one images (we would like to perform the classification using OTB). Is there a tool or method in OTB that allows for the creation of a 'database' of vector training data? Closest to this that I have found so far is the TrainImageClassifier but it applies to raster data. All ideas are welcome!
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