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Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery
The aim of this work is to evaluate the applicability of the 3D model obtained through Structure-from-Motion (SFM) from unmanned aerial vehicle (UAV) imagery, in order to characterize bioerosion patterns (i.e., cavities for roosting and nesting) caused by burrowing parrots on a cliff in Bahía Blanca...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367375/ https://www.ncbi.nlm.nih.gov/pubmed/25658392 http://dx.doi.org/10.3390/s150203593 |
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author | Genchi, Sibila A. Vitale, Alejandro J. Perillo, Gerardo M. E. Delrieux, Claudio A. |
author_facet | Genchi, Sibila A. Vitale, Alejandro J. Perillo, Gerardo M. E. Delrieux, Claudio A. |
author_sort | Genchi, Sibila A. |
collection | PubMed |
description | The aim of this work is to evaluate the applicability of the 3D model obtained through Structure-from-Motion (SFM) from unmanned aerial vehicle (UAV) imagery, in order to characterize bioerosion patterns (i.e., cavities for roosting and nesting) caused by burrowing parrots on a cliff in Bahía Blanca, Argentina. The combined use of SFM-UAV technology was successfully applied for the 3D point cloud model reconstruction. The local point density, obtained by means of a sphere of radius equal to 0.5 m, reached a mean value of 9749, allowing to build a high-resolution model (0.013 m) for resolving fine spatial details in topography. To test the model, we compared it with another point cloud dataset which was created using a low cost do-it-yourself terrestrial laser scanner; the results showed that our georeferenced model had a good accuracy. In addition, an innovative method for the detection of the bioerosion features was implemented, through the processing of data provided by SFM like color and spatial coordinates (particularly the y coordinate). From the 3D model, we also derived topographic calculations such as slope angle and surface roughness, to get associations between the surface topography and bioerosion features. |
format | Online Article Text |
id | pubmed-4367375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43673752015-04-30 Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery Genchi, Sibila A. Vitale, Alejandro J. Perillo, Gerardo M. E. Delrieux, Claudio A. Sensors (Basel) Article The aim of this work is to evaluate the applicability of the 3D model obtained through Structure-from-Motion (SFM) from unmanned aerial vehicle (UAV) imagery, in order to characterize bioerosion patterns (i.e., cavities for roosting and nesting) caused by burrowing parrots on a cliff in Bahía Blanca, Argentina. The combined use of SFM-UAV technology was successfully applied for the 3D point cloud model reconstruction. The local point density, obtained by means of a sphere of radius equal to 0.5 m, reached a mean value of 9749, allowing to build a high-resolution model (0.013 m) for resolving fine spatial details in topography. To test the model, we compared it with another point cloud dataset which was created using a low cost do-it-yourself terrestrial laser scanner; the results showed that our georeferenced model had a good accuracy. In addition, an innovative method for the detection of the bioerosion features was implemented, through the processing of data provided by SFM like color and spatial coordinates (particularly the y coordinate). From the 3D model, we also derived topographic calculations such as slope angle and surface roughness, to get associations between the surface topography and bioerosion features. MDPI 2015-02-04 /pmc/articles/PMC4367375/ /pubmed/25658392 http://dx.doi.org/10.3390/s150203593 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Genchi, Sibila A. Vitale, Alejandro J. Perillo, Gerardo M. E. Delrieux, Claudio A. Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title | Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title_full | Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title_fullStr | Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title_full_unstemmed | Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title_short | Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery |
title_sort | structure-from-motion approach for characterization of bioerosion patterns using uav imagery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367375/ https://www.ncbi.nlm.nih.gov/pubmed/25658392 http://dx.doi.org/10.3390/s150203593 |
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