QSM Detect Wellfit Cylinders
Plugin : SimpleForestNom de classe : SF_StepQSMDetectWellFitCylinders
Description
The steps detects well fitted cylinders. It imports a qsm and its point cloud. Points are allocated to cylinders, for each cylinder a sub cloud is generated.The average distance of each subcloud to its cylinder is computed. Only the cylinders with small enough distance are considered well fit. Additionally cylinders which are close to the tips are by default considered bad fitted. Each cylinder receives a flag about the good or bad fitted class, which can be used during allometric correction.
Paramètres
Paramètres de pré-configuration (non modifiables une fois l'étape ajoutée) :
Cylinder quality estimation:
The reverse branch order for a segment is the number of branch junctions passed from this segment to its furthest leave.
Tip segments have reverse branch order 1, the maximum reverse branch order is found at the root.
For the remaining cylinders points are allocated and their average distance to the cylinder is computed.
Computree does scale the color code of an attached attribute of a cylinder by the min and max of that attribute.
Min and max change between different models and to the next flag can let you unify the colorpallete between different QSMs.
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
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- Uncheck to deactivate parameterization possibilities of this step. Only recommended for beginners: Activé.
Cylinder quality estimation:
The reverse branch order for a segment is the number of branch junctions passed from this segment to its furthest leave.
Tip segments have reverse branch order 1, the maximum reverse branch order is found at the root.
- Cylinders from segments having an reverse branch order smaller than [minimumReverseBranchOrder] 4 are considered noise. .
For the remaining cylinders points are allocated and their average distance to the cylinder is computed.
- Only the best [percentageFitQuality] 0.50 cylinders will not be considered noise. .
Computree does scale the color code of an attached attribute of a cylinder by the min and max of that attribute.
Min and max change between different models and to the next flag can let you unify the colorpallete between different QSMs.
- Check for [unifiedVisualization], uncheck if you want to analyse the error statistically with exported QSMs. Activé.
- Check for [onlyWellFittedCylinders], uncheck if you want to display all cylinders: Activé.
Please excuse potential double citation with the step related citation for the
following general citation for SimpleForest (work on updated citable resource ongoing):
A majority of implementations are based on PCL library:
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Données d'entrée
Structure des données d'entrée recherchées :
Result : QSM result
...
QSM Group (Group)
QSM Item ()
Result : Input Result Cloud
...
Tree Group (Group)
Tree Cloud (Item with points)
Result : QSM result
...
QSM Group (Group)
QSM Item ()
Result : Input Result Cloud
...
Tree Group (Group)
Tree Cloud (Item with points)
Références
Hackenberg Jan, Spiecker Heinrich, Calders Kim, Disney Mathias, Raumonen Pasi. 2015. SimpleTree - an efficient open source tool to build tree models from TLS clouds. Multidisciplinary Digital Publishing Institute. Forests.
Hackenberg Jan, Sheppard Jonathan, Spiecker Heinrich, Disney Mathias. 2014. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Multidisciplinary Digital Publishing Institute. Forests.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.
Hackenberg Jan, Sheppard Jonathan, Spiecker Heinrich, Disney Mathias. 2014. Highly Accurate Tree Models Derived from Terrestrial Laser Scan Data: A Method Description. Multidisciplinary Digital Publishing Institute. Forests.
Rusu Radu Bogdan, Cousins Steve. 2011. 3d is here: Point cloud library (pcl). IEEE. Robotics and Automation (ICRA), 2011 IEEE International Conference on.