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  • Habitat Sampler
  • HabitatSamplerHabitatSampler
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  • #46

Closed
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Created Sep 28, 2021 by Julia Neelmeijer@neelDeveloper

Idea: incorporate "expert area" to improve performance

@carstenn :

Classifying large areas with HaSa/MiSa.C is very slow. As the idea behind the tool is to incorporate expert knowledge I was wondering whether it would make sense to define two different areas of interest:

  1. the total image/extent that should be classified (can be large)
  2. the "expert area" - this would be an AOI that is well known to the user (could incorporate the reference points, probably allow also multi-polygons)

Idea: the entire model run / threshold finding analysis would then only be based on the expert area to save time and complexity. Once the final solution is found, the result will be deployed to the large area. I do understand that this needs to be the same imagery (data stack) and it does not work if any image/bands and so on would be changed.

Would that be possible?

@romulo : if this works it could be a real improvement for MiSa.C!

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