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Sensors 2015, 15(2), 3593-3609; doi:10.3390/s150203593

Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery

1
Instituto Argentino de Oceanografía, CONICET, CC 804, B8000FWB Bahía Blanca, Argentina
2
Departamento de Geografía y Turismo, Universidad Nacional del Sur, 8000 Bahía Blanca, Argentina
3
Departamento de Ingeniería Eléctrica y de Computadoras, Universidad Nacional del Sur, 8000 Bahía Blanca, Argentina
4
Departamento de Geología, Universidad Nacional del Sur, 8000 Bahía Blanca, Argentina
*
Authors to whom correspondence should be addressed.
Received: 27 October 2014 / Revised: 25 December 2014 / Accepted: 29 January 2015 / Published: 4 February 2015
(This article belongs to the Section Remote Sensors)
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Abstract

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. View Full-Text
Keywords: Structure-from-Motion Approach; unmanned aerial vehicle; 3D point cloud; topography; bioerosion; burrowing parrot Structure-from-Motion Approach; unmanned aerial vehicle; 3D point cloud; topography; bioerosion; burrowing parrot
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Genchi, S.A.; Vitale, A.J.; Perillo, G.M.E.; Delrieux, C.A. Structure-from-Motion Approach for Characterization of Bioerosion Patterns Using UAV Imagery. Sensors 2015, 15, 3593-3609.

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