Erin Johnson

TBC Tip of the Week #108: Pole Batch Feature Extraction

Blog Post created by Erin Johnson on May 15, 2020

Good afternoon TBC’ers! Have you ever wanted to be able to easily extract the poles within your point cloud dataset? Well, today I will be demonstrating the new automatic pole batch extraction workflow in TBC v5.30. Prior to extracting poles from your scan data, load in the global features FXL (or a feature library of your own) file from your project settings:

 

I recommend classifying your point cloud with the classify regions tool (under the point cloud ribbon) prior to pole extraction to aid the software in pole detection:

Next, from the point clouds ribbon, navigate to the extract point feature command under deliverables:

Within the extract point feature command pane, change the extraction type to pole and select automatic. You can open the automatic pole extraction settings to enter in a minimum pole height. This newly enhanced feature will allow the software to exclude poles that fall below your specified height during the feature extraction:

 

You can also add in a global feature code to assign pole attributes since we loaded in our global features FXL file prior to running the extraction. Adding a feature code will make our pole diameters and height editable after the extraction: 

 

Once our input settings are changed, we can hit the extract pole attributes button to run the pole batch extraction:

When the pole extraction is complete, we can perform a quality assurance check in the 3D view. A travelling salesman path appears in green to simplify the QA/ QC process. The travelling salesman path allows us to validate each extracted pole individually:

 

We can zoom into a pole that we want to start the QA/ QC process on and mark it so we know when we have completed the QA/ QC loop. A pole will change from pink to white to indicate that we have marked it:

 

We can continue making our way around the travelling salesman path with the left and right key buttons (1). We can block out surrounding noise with the limit box to provide a clearer view of an individual pole (2). The button all the way to the right turns the travelling salesman path on and off (3):

After matching the attributes from our feature code to attributes we are extracting - in this case pole diameter and pole height - we can manually adjust the pole diameter and height by highlighting the pole diameter or height box, then coming back to the 3D view to measure a new value:

 

We can also hit the ignore button if the extract point feature command misclassified an object or noise as a pole:

Once all of our poles are validated, we can hit the add button at the bottom of the extract point feature command pane.

 

I hope this tip comes in handy next time you are looking to extract features from your point cloud data! 

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