Deep learning in 3D basemaps solution

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11-12-2020 06:16 PM
Gert_van_Maren
Esri Contributor
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The November 2020 solution release sees the first integration of deep learning into the 3D basemaps solution. Leveraging a new tree classification deep learning model on the Living Atlas, it is now possible to classify trees in lidar point clouds in ArcGIS Pro.

Before and after using deep learning to classify trees in the lidar point cloudBefore and after using deep learning to classify trees in the lidar point cloud

This solution release also adds a new density based cluster approach to tree extraction which significantly improves the tree extraction compared to a raster based approach.

Extracting tree location, height and width using density based clustering.Extracting tree location, height and width using density based clustering.

Just keep in mind that density based clustering on large amount of points is much more resource intensive than the existing raster based approach so we recommend using the latter first to get a generic tree coverage and use the density based cluster approach only for areas where you need accurate tree extraction. 

For more information, see the 3D basemap solution documentation.

2 Comments
RickeyFight
MVP Regular Contributor

@Gert_van_Maren 

 

I cannot sign in and see this link above.

tree classification deep learning model

Gert_van_Maren
Esri Contributor

Hi, the link is changed but Geonet is not updating.

For now, you can use: https://www.arcgis.com/home/item.html?id=58d77b24469d4f30b5f68973deb65599

Thanks.