Segmenting objects across a very high resolution scene and with a controlled quality is a difficult task for which no method has reached a sufficient level of performance to be considered as operational.
Even if we leave aside the question of segmentation quality and consider that we have a method performing reasonably well on our data and objects of interest, the task of scaling up segmentation to real very high resolution data is itself challenging. First, we can not load the whole data into memory, and there is a need for on the flow processing which does not cope well with traditional segmentation algorithms. Second, the result of the segmentation process itself is difficult to represent and manipulate efficiently.
The experience of segmenting large remote sensing images is packed into a single Segmentation in OTB Applications.
You can find more information about this application here.