[Ky...] Posted October 26, 2021 Share Posted October 26, 2021 What is the L1 feature evaluation method and what does it do? Link to comment Share on other sites More sharing options...
[Cl...] Posted October 26, 2021 Share Posted October 26, 2021 Found this. It mentions "It is not so sensitive to outliers". That's not much, but it's something. viewtopic.php?f=13&t=5354&p=34348&hilit ... ion#p34348 Link to comment Share on other sites More sharing options...
[Th...] Posted October 26, 2021 Share Posted October 26, 2021 Copied from the help file: "With the calculation as least absolute value feature (L1 feature), the geometric element is determined in such a way to minimize the sum of the deviation values. This best fit is insensitive against outliers and leads to a clear result with low computational effort." I can't pretend to understand math anymore, but https://demonstrations.wolfram.com/ComparingLeastSquaresFitAndLeastAbsoluteDeviationsFit/ with a couple of graphs that show LAV basically ignoring outlier data. Link to comment Share on other sites More sharing options...
[Ke...] Posted October 27, 2021 Share Posted October 27, 2021 I have found the L1 evaluation method has given me a good correlation with MarSurf or Talysurf evaluations, when scanning radii with segments less than 90 degrees (tested on samles with 50-70 degrees). Link to comment Share on other sites More sharing options...
[Ky...] Posted November 3, 2021 Author Share Posted November 3, 2021 Thank you all for the responses, I appreciate it. Link to comment Share on other sites More sharing options...
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