Urban Services and Workflows

Given a new data set a cartography expert is tasked with the update of an existing 3D catalogue of urban topographic objects, such as the detection of buildings for monitoring and cadastral updating or individual tree extraction from urban LMMS (Laser Mobile Mapping Systems) data.

Individual tree extraction from urban LMMS data

Organizations involved:   IGN (France)

The workflows address large point clouds from Laser Mobile Mapping Systems (LMMS). LMMS is a fairly new and still developing data acquisition technology capable of generating enormous point clouds in a short time. This showcase addresses how to efficiently and reliably identify and extract trees from big LMMS data. Methods for extracting objects from LMMS data are still immature and addressed by many research groups. It is considered challenging to successfully identify individual trees from part of a point cloud classified as sampling trees. Pre IQmulus algorithms for extraction of metric and quantitative information from point clouds were typically demonstrated on small point clouds (< 100.000.000 points) sampling a few adjacent facades at most.

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