[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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Comment(by mmetz):

 Replying to [comment:3 sbl]:
 > 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...

 I have added a new option to filter out only positive or only negative
 outliers in trunk r58414. Please note that this is a new option called
 filter, not two new flags.

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Ticket URL: <http://trac.osgeo.org/grass/ticket/1480#comment:4>
GRASS GIS <http://grass.osgeo.org>