New Automated Point-Cloud Alignment for Ground-Based Light Detection and Ranging Data of Long Coastal Sections

By M. Olsen, E. Johnstone, F. Kuester, N. Driscoll, S. Ashford. 2011

57 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/09207d4490d347b5a12fbca0fe9c08e708e18fb6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Nicolas Brodu
2. J. Leroux
3. Dimitri Lague

In Environmental Engineering

1. J. Leroux
2. Dimitri Lague
3. Nicolas Brodu
4. Mark W. Smith
5. Duncan Quincey
6. Jonathan L. Carrivick

In Geology

1. Nicolas Brodu
2. J. Leroux
3. Dimitri Lague

Citations in the corpus

• Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) (2013, methodology): “…two clouds have a systematic error that is a complex function of the method used to georeference the two clouds, the number of stations to generate a single survey and the scanning instrument characteristics (Lichti et al., 2005; Salvi et al., 2007; Bae and Lichti, 2008; Olsen et al., 2009, 2011).”