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Laserchicken: toolkit for ALS point clouds

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 13 May 2020Publisher:Zenodo
Authors: Meijer, Christiaan; Goncalves, Romulo; Renaud, Nico; Andela, Bouwe; Dzigan, Yifat; Diblen, Faruk; Ranguelova, Elena; +5 Authors
Code repository: https://github.com/eEcoLiDAR/laserchicken/tree/v0.6.0

doi: 10.5281/zenodo.7050789 , 10.5281/zenodo.6566210 , 10.5281/zenodo.1219422 , 10.5281/zenodo.18845841 , 10.5281/zenodo.3824511 , 10.5281/zenodo.18848167 , 10.5281/zenodo.4035231 , 10.5281/zenodo.15078169 , 10.5281/zenodo.3836593 , 10.5281/zenodo.8116784

Laserchicken: toolkit for ALS point clouds

Abstract

Laserchicken is a toolkit for handling point clouds created using airborne laser scanning (ALS). Find neighboring points in your point cloud and describe them as feature values. Read our user manual and our (very modest) tutorial.

Related Organizations
Keywords

machine learning, digital terrain map, airborne laser scanning, point cloud

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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