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I am trying to analyse a geological surface with R & Python and I would like to know if there are some ways to distinguish, divide and quantify repetitive structures such as advertised by a software company (picture below).

I don't have a precise scope but I would like to understand what shapes are repeating themselves onto the analysed surface.

Are there advised packages that could be useful to accomplish this task?

Analyze surface texture

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In R, you can use library raster and the different terrain function or your custom focal functions.
- Using terrain with slope will give you information on the local slope
- with TPI will tell you if you are on a crease, a hill or a plate area.
- Using focal (potentially combined with aggregate), you can calculate some TPI with larger scope, or pass a Gaussian filter, ...

With these different indices, you can then apply some pixel classification, with PCA like proposed in your illustration or any other classification procedures like randomForest, ...

  • This is a great insight. Thanks. I am dealing with the point cloud first. Would you just consider a final mesh-reconstruction (rasterised) or xyz points could be useful as well? – user4330326 Jun 2 '17 at 23:33
  • The tools developed specifically for rasters are really interesting. They are also made to work correctly with your computer memory while loading only what is necessary. So I would find the adequate resolution, and work with rasters. – Sébastien Rochette Jun 3 '17 at 7:12

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