Hi Roberto, 

I am not sure what is going on there. There haven’t been any chances to that 
code over the period you talk about. However, I think the difference is more 
likely to be with your input data. The spdmccgrd and spdpmfgrd commands do not 
try to classify vegetation or any other classes only ground but if returns have 
a classification before they are entered into spdmccgrd or spdpmfgrd then only 
the points which are classified at some point with the processing as ground are 
changed. In the final classification not all point may end up as ground, if 
they are only ground at an intermediate stage then those points will be 
assigned as unclassified. Therefore, you will commonly see quite a few 
unclassified returns near the ground. 

If you want to test it or to ‘clean’ your data before using spdlib to classify 
it then you can use the spdclearclass command to assign all returns to the 
class ‘unclassified’. 

I hope that helps, let me know if it doesn’t make sense or this is not what you 
are seeing.

Cheers, Pete


On 24 Sep 2014, at 16:57, Roberto Antolín <[email protected]> wrote:

> Hello all,
> I have recently noticed that PMF and MCC algorithms do not classify
> vegetation properly. The output spd files has two (some times three)
> different classes: "ground" and "unclassified" ("low vegetation" in
> some rare cases). None of them are "vegetation"
> 
> Since I have not updated my spdlib version for a long time, I checked
> the files I processed months ago. As far as I know, this issue is
> going on since May.
> 
> Any hint?
> 
> -- 
> Roberto
> 
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