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Dive into the research topics where Nicolas Brodu is active.

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Featured researches published by Nicolas Brodu.


Isprs Journal of Photogrammetry and Remote Sensing | 2012

3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology

Nicolas Brodu; Dimitri Lague

3D point clouds of natural environments relevant to problems in geomorphology often require classification of the data into elementary relevant classes. A typical example is the separation of riparian vegetation from ground in fluvial environments, the distinction between fresh surfaces and rockfall in cliff environments, or more generally the classification of surfaces according to their morphology. Natural surfaces are heterogeneous and their distinctive properties are seldom defined at a unique scale, prompting the use of multi-scale criteria to achieve a high degree of classification success. We have thus defined a multi-scale measure of the point cloud dimensionality around each point, which characterizes the local 3D organization. We can thus monitor how the local cloud geometry behaves across scales. We present the technique and illustrate its efficiency in separating riparian vegetation from ground and classifying a mountain stream as vegetation, rock, gravel or water surface. In these two cases, separating the vegetation from ground or other classes achieve accuracy larger than 98 %. Comparison with a single scale approach shows the superiority of the multi-scale analysis in enhancing class separability and spatial resolution. The technique is robust to missing data, shadow zones and changes in point density within the scene. The classification is fast and accurate and can account for some degree of intra-class morphological variability such as different vegetation types. A probabilistic confidence in the classification result is given at each point, allowing the user to remove the points for which the classification is uncertain. The process can be both fully automated, but also fully customized by the user including a graphical definition of the classifiers. Although developed for fully 3D data, the method can be readily applied to 2.5D airborne lidar data.


Isprs Journal of Photogrammetry and Remote Sensing | 2013

Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)

Dimitri Lague; Nicolas Brodu; Jérôme Leroux


arXiv: Soft Condensed Matter | 2014

New patterns in high-speed granular flows.

Nicolas Brodu; Renaud Delannay; Alexandre Valance; Patrick Richard


2014 AGU Fall Meeting | 2014

New Patterns in High-Speed Granular Flows, or How Supported Regimes Could Explain Frictional Velocity-Weakening in Landslides

Renaud Delannay; Nicolas Brodu; Alexandre Valance; Patrick Richard


The EGU General Assembly | 2013

Structure and behaviors of granular flows: simulations at the grain level and scaling laws

Nicolas Brodu; Renaud Delannay; Alexandre Valance; Patrick Richard


2nd IMA Conference on Dense Granular Flows, Isaac Newton Institute for Mathematical Sciences | 2013

New regimes and phase transitions in channeled granular flows

Renaud Delannay; Nicolas Brodu; Patrick Richard; Alexandre Valance


The EGU General Assembly | 2012

High precision terrestrial laser scanning : measuring the individual impact of floods and landslides on meandering bedrock river dynamics (Rangitikei river, New-Zealand)

Dimitri Lague; Stéphane Bonnet; Nicolas Brodu; Tim Davies; Jérôme Leroux


Archive | 2012

Evidence for new regimes in channeled granular flows

Nicolas Brodu; Renaud Delannay; Alexandre Valance; Patrick Richard


GDR TransNat | 2012

Phase transition for granular flows down inclined channels

Renaud Delannay; Nicolas Brodu; Patrick Richard; Alexandre Valance


AGU Fall Meeting 2012 | 2012

Unlocking the scientific potential of complex 3D point cloud dataset : new classification and 3D comparison methods

Dimitri Lague; Nicolas Brodu; Jérôme Leroux

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Dimitri Lague

Centre national de la recherche scientifique

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Renaud Delannay

Centre national de la recherche scientifique

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Renaud Delannay

Centre national de la recherche scientifique

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Tim Davies

University of Canterbury

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