[Qgis-user] Record the cracks in our (private) streets

[Christoph Jung]

Hello Doug,

Automatic crack detection is not an easy problem. A semi automatic classification will not find all cracks, because cracks can have very different appearances. A state of the art approach would be deep learning. At the German university TU Ilmenau they developed a robust neuronal network for the detection and classification of distresses in road surfaces. Here is a Link to one of the papers of this project:

https://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_nat/2017/Eisenbach-ATIM-2017.pdf

Sincerely,
Christoph

>> Am 14.12.2019 um 07:05 schrieb Doug <dougf.ccn at comcast.net>:
> 
> I have imported a set of drone pictures to QGIS. They show the streets in my subdivision. I want to “record” the cracks in the pavement to be able to compare  them over time. I want to be able to segment the streets in arbitrary lengths. For each segment, I want to “draw” the cracks (in layers) to record where they are. Every year or two I will repeat the process. The purpose is to be able to compare the set of cracks in successive snapshots to see how the asphalt is holding up and identify underlying problems. I would love to have some software to find the cracks for me and generate the crack layer, if anyone knows of such software.
>  
> First problem: I can trace the outline of the streets to generate a layer which represents to road surface. Is there a way to slice that layer by picking two points to “slice” the layer and then have two layers? And then repeat the process so that I get the segments that I want? Alternatively, is there a way to create a segment and “snap” to next segment so there is not overlap or missing space?
>  
> Second problem. Given that I have a layer representing a segment of the road surface, can I “draw” the cracks for that segment such that every line in the cracks layer is related (as in SQL) to the segment it reside in?
>  
> Once I have the road surface segments, and the associated cracks, I can then use SQL to generate all sorts of reports on the cracks: average and median length, number of horizontal and vertical cracks, total crack length per road surface segment (or square feet), etc.
>  
> Thanks.
> Doug
>  
>  
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