NDLI: Multi-scale voxel-based algorithm for UAV-derived point-clouds of complex surfaces

Content Provider	IEEE Xplore Digital Library
Author	Gomez, Christopher Kato, Akira
Copyright Year	2014
Description	Author affiliation: University of Chiba, Faculty of Horticulture, 648 Matsudo, Matsudo-shi, 271-8510, Japan (Kato, Akira) \|\| University of Canterbury, Bio-geomorphometry Research Group, Department of Geography, Private Bag 4800, Christchurch 8140, New Zealand (Gomez, Christopher)
Abstract	Point-clouds acquired using remote sensing, such as lasers or photogrammetric techniques, have grown exponentially in the last decade, providing data containing hundreds of millions of points with a density reaching hundreds of thousand points per square centimetre - when working on relatively small areas. This progress has been developed concomitantly with an increasing democratization of UAVs, in such a way that even in hardly accessible areas UAV-based photogrammetric techniques have provided researchers with detailed point-clouds. Provided those dataset, the paradigms have therefore shifted from data collection difficulties, to data processing limitations and usage. The present contribution therefore aims to provide an example of data processing using a voxel-based approach of gravel surfaces in order to derive more than the traditional surface roughness. The algorithm decomposes the surface into voxels and sub-voxels in order to determine if there are surfaces overlapping each other, showing the presence of cavities. Such dataset will then provide the necessary dataset to create metrics to improve the modelling of boundary layers dynamics in computational fluid dynamics for instance.
Starting Page	205
Ending Page	209
File Size	689157
Page Count	5
File Format	PDF
e-ISBN	9781479961887
DOI	10.1109/ICARES.2014.7024399
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-13
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	UAS Surface roughness Rough surfaces Surface topography UAV Structure from Motion Algorithm Surface treatment Remote sensing Three-dimensional displays Surface Roughness Voxels Cavity resonators
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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