Dear GRASS-community,
I have to perform a multi-scale, object-oriented analysis on an image with about 93'535'000 pixels^^ I'm doing the process on a server, so I need for one simple segmentation process approximately 700-800 minutes depending on the threshold. The same process in SAGA takes around 60 minutes with the use of seed points (as grid pixels). But in SAGA there is no possibility for hierarchical segmentation. Therefore, I would like to use the seed points of SAGA as Input for GRASS 7.2.0 to speed up i.segment. However, I am not capable to transform the seeds of SAGA to a meaningful i.segment input. How has to look an optimal input seeds grid for GRASS? - I've already found out is that it must be an integer grid with positive seed numbers. The float-grid output of SAGA seed contains single pixels surrounded by no-data values. When I transform the SAGA seed to an integer grid and into GRASS (by (r)gdal), I have to give no data values a positive number. Negative values in the seed-grid-input lead to an error in i.segment. I would be glad for any hint and reply. Best regards
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