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Nordwestdeutsche Forstliche Versuchsanstalt

Germany

2 papers here65 citations across 2
fields
  • cs.CV1
  • stat.ME1
ROR 03hpxd290OpenAlex

affiliations via OpenAlex

most citedTreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds

64 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Alexander S. Ecker1 · h 2
  • Dominik Seidel1 · h 1
  • Holger Sennhenn‐Reulen1 · h 11
  • Jonathan Henrich1 · h 4
  • J. van Delden1 · h 0
  • Thomas Kneib1 · h 2
collaborating institutions
  • Max Planck Institute for Dynamics and Self-OrganizationDE1 paper
  • University of GöttingenDE1 paper

2 papers

cs.CV2023★ 64 cited

TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds

Jonathan Henrich, Jan van Delden, Dominik Seidel +2

Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented i…

stat.ME2018★ 1 cited

Bayesian Regression for a Dirichlet Distributed Response using Stan

Holger Sennhenn-Reulen

For an observed response that is composed by a set - or vector - of positive values that sum up to 1, the Dirichlet distribution (Bol'shev, 2018) is a helpful mathematical construc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.