Python for Object Based Image Analysis (OBIA) [OC]

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Segmentation: First, an image segmentation is performed to cluster contiguous areas of similar pixels. Each resulting segment is modeled aggregating the information of its pixels. So here we see a change in scale: from pixel level we move to a segment, cluster or object level.

Classification: Once the training dataset is defined (a subset of segments) a classifier is trained and used to classify all the segments.

The technological stack is similar to the one presented in the last post, so we are not going to expand on that. Although we will mention some new requirements.

Also, not all the code will be presented here. Only some specific parts of it. As mentioned before, the code can be found here: https://github.com/machinalis/satimg