Sensors and Systems
-->
Breaking News
BlackSky wins contract to deliver Gen-3 and Gen-2 monitoring services to Latin American defense and intelligence customers
Rating12345Agreement provides immediate On-Demand subscription-based access to BlackSky Spectra®...
Preliminary Agenda Released for 2025 UAS Summit & Expo
Rating12345Produced by UAS Magazine, and Organized by BBI International...
APEX Technologies, a Division of McCoy Construction & Forestry, Named Newest Trimble Technology Outlet
Rating12345Leading John Deere dealer now providing Trimble technology to customers...
  • Jul 9, 2011
  • Comments Off on 3D Terrestrial LiDAR Data Classification of Complex Natural Scenes
  • Headlines
  • 187 Views

July 9th, 2011
3D Terrestrial LiDAR Data Classification of Complex Natural Scenes

  • Rating12345

D point clouds of natural environments relevant to geomorphology problems (rivers, cliffs…) often require to classify the data into elementary relevant classes. A typical example is the separation of riparian vegetation from soil in fluvial environments, the distinction between fresh surfaces and rockfall in cliff environments, or more generally the classification of surfaces according to their morphology (ripples, grain size…). Natural surfaces are very heterogeneous and their distinctive properties are seldom defined at a unique scale. We have thus defined a multi-scale measure of the point cloud dimensionality around each point. The dimensionality characterizes the local 3D organization of the point cloud and varies from being 1D (points set along a line) to really taking all 3D volume, at each scale. Read More