R has the capacity for image segmentation, although all of the examples I have come across utilize a single band for the segmentation (example). I am interested in combining R's capacity for random forest image classification with an object-oriented segmentation approach.
What functionality does R have for multispectral image segmentation that is suitable for natural resources-based analysis? Or how to link the results of a single band segmentation for further analysis.
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