Agisoft Metashape
Agisoft Metashape => Python and Java API => Topic started by: MaciekK on August 05, 2021, 09:00:10 AM
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Hi everyone,
do you have any idea for a script that validates the height of a dense cloud on known points? Of course you have to calculate the standard deviation, RMS etc. I mean the idea - what methods to use?
Maciek
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Maciek,
one way to approach the dense cloud height validation would be to use dense_cloud.pickPoint method. Given a check point p1 , you would create a point p0 = (p1.x, p1.y, 0) (same x,y as p1 with altitude 0)
and then use dense_cloud.pickPoint(p0,p1) to find intersection of vertical at p1 with cloud. Compare the intersection.z with p1.z and populate your error statistics with np....
This could be a starting point...
In example shown, code reads the validation points coordinates from a file (PuntosFinales.txt), compares the Z with dense cloud using pickPoint and prints out the AVGZ error, STDZ and RMSZ....
Second example shows result using 7 validation check points ... the green lines represent the dense_cloud.pickPoint vertical rays....
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Paul,
Thanks. I'll try to write a similar script. As always, you are very helpful
best regards