INVESTIGADORES
PERILLO Gerardo Miguel E.
artículos
Título:
Structure-from-motion approach for characterization of bioerosion patterns using UAV imagery
Autor/es:
GENCHI, S.A.; VITALE, A.J.; PERILLO, G.M.E.; DELRIEUX, C.A.
Revista:
SENSORS
Editorial:
MOLECULAR DIVERSITY PRESERVATION INTERNATIONAL-MDPI
Referencias:
Lugar: Basel; Año: 2015 vol. 15 p. 3593 - 3609
ISSN:
1424-8220
Resumen:
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.