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I'd like to extract road defects from a lidar point cloud. So, wherever a road surface drops or raises by a few mm relative to 100 cm around it.

I know it's possible but I just can't find or figure out a workflow for it.

Erdas Webinars has the workflow for version 2011, but this is very different in 2013 as it uses a raster .img file instead. I also looked at the workflow files from Imagine Help.

In ESRI it's a similar issue.

Any advise on workflows for this? We own both software so I would like to manually extract defects from a terrestrial LiDAR scan using either of these.

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What features are you attempting to extract? I have seen models (ERDAS and ESRI/python) that extract tree points and forest polygons. – Barbarossa Jul 8 '13 at 17:39
Road wherever a road surface drops or raises by a few mm relative to 100cm around it. – GeorgeC Jul 12 '13 at 0:13
Is your data a point cloud or is it a derivative, such as a DEM, TIN, or other DSM? – Barbarossa Jul 16 '13 at 18:58
@Barbarossa it is a point cloud but we also have the derivative products including xyz plus DEM,TIN and DSM – GeorgeC Jul 17 '13 at 22:59
Did you every come up with a solution? I need to do something similar to extract manhole covers. – MikeRads Mar 8 at 15:21

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