Digital Terrain Model From UAV Photogrammetric Data
No Thumbnail Available
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
This paper presents a method designed to finely approximate ground surfaces from UAV photogrammetric point clouds by relying on statistical filters to separate vegetation from potential ground points, dividing the whole plot in similar complexity sub-plots through an optimized tilling, and filling holes by blending multiple local approximations through the partition of unity principle. Experiments on very different terrain topology show that our approach leads to significant improvement over the state-of-the-art method.
Description
@inproceedings{10.2312:stag.20201242,
booktitle = {Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference},
editor = {Biasotti, Silvia and Pintus, Ruggero and Berretti, Stefano},
title = {{Digital Terrain Model From UAV Photogrammetric Data}},
author = {Morel, Jules and Bac, Alexandra and Kanai, Takashi},
year = {2020},
publisher = {The Eurographics Association},
ISSN = {2617-4855},
ISBN = {978-3-03868-124-3},
DOI = {10.2312/stag.20201242}
}