Reliable automatic classification and segmentation of laser point clouds by statistical analysis of surface curvature values-Reference-Cited by-同舟云学术

Reliable automatic classification and segmentation of laser point clouds by statistical analysis of surface curvature values

Published:2009-04-07 Issue:1-2 Volume:1 Page:17-30
ISSN:1866-9298
Container-title:Applied Geomatics
language:en
Short-container-title:Appl Geomat

Author:

Crosilla Fabio,Visintini Domenico,Sepic Francesco

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Environmental Science (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12518-009-0002-4.pdf

Reference16 articles.

1. Beinat A, Crosilla F, Visintini D, Sepic F (2007) Automatic non parametric procedures for terrestrial laser point clouds processing. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI, 3/W49B:1–6

2. Cazals F, Pouget M (2003) Estimating differential quantities using polynomial fitting of osculating jets. In: Proceedings of the 1st Symposium on Geometry Processing: 177–187

3. Cazals F, Pouget M (2007) A generic C++ package for estimating the differential properties on sampled surfaces via polynomial fitting. Rapport de recherche n. 6093, INRIA, France

4. Cerioli A, Riani M (2003) Robust methods for the analysis of spatially autocorrelated data. Stat Methods Appl 11:334–358

5. Crosilla F, Visintini D, Prearo G (2004) A robust method for filtering non-ground measurements from airborne LIDAR data. In: International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences, XXXV B3:196–201

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