[GRASS-dev] [GRASS GIS] #1480: v.outlier - distinguish positive and negative outlier filtering from lidar point clouds

[GRASS GIS]

#1480: v.outlier - distinguish positive and negative outlier filtering from lidar
point clouds
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 Reporter:  sbl          |       Owner:  grass-dev@…              
     Type:  enhancement  |      Status:  new                      
 Priority:  normal       |   Milestone:  7.0.0                    
Component:  Vector       |     Version:  unspecified              
 Keywords:  review       |    Platform:  All                      
      Cpu:  All          |  
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Changes (by sbl):

  * version:  svn-develbranch6 => unspecified
  * milestone:  6.4.2 => 7.0.0


Comment:

 Recently we had another project where we got insufficient filtered LIDAR
 data, where especially returns from lower mountainous vegetation were
 classified as "ground return". Filtering only last return was already done
 in the classification process (applied by the LIDAR-operator) and
 therewith insufficient too.
 The multi-scale curvature classification  (mcc) procedure developed by
 Evans & Hudak 2007 (PDF linked above) however helped filtering out at
 least some more vegetation returns.
 I created a GRASS 7 AddOn (python script) which applies the mcc procedure.
 It is not uploaded to svn yet and some more testing will be necessary in
 order to write a useful manual. But I could attach it as a prove of
 concept if that is of interest. However, it requires that the
 v.outlier.diff is applied.
 Therefore I would like to ask if the decision not to change v.outlier
 (because of the different concept of the module) could be reconsidered?
 The mcc-algorithm was really useful for us at least...

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Ticket URL: <http://trac.osgeo.org/grass/ticket/1480#comment:3>
GRASS GIS <http://grass.osgeo.org>