STRUCTURE FROM MOTION TECHNIQUE OF PROXIMAL SENSING AIRBORNE DATA FOR 3D RECONSTRUCTION OF EXTRACTION SITES — IJEGE
 
 
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STRUCTURE FROM MOTION TECHNIQUE OF PROXIMAL SENSING AIRBORNE DATA FOR 3D RECONSTRUCTION OF EXTRACTION SITES



Abstract:
Nowadays digital photogrammetry based on Structure from Motion (SfM) algorithms represents a low-cost and rapid technique for the tridimensional detection and mapping of large areas of particular geologic-geomorphologic and environmental interest. In this case study, we use images captured from sensors mounted on a small and inexpensive aircraft for the 3D reconstruction of extraction sites. The aircraft, called RadGyro, is able to deal with morphologically complex zones, as the test area, located in the marble district of the Apuan Alps, the biggest and most exploited European extractive basin. The RadGyro is equipped with two digital cameras (full frame sensor and 35 mm fixed lens). Five GPS antennas and an Inertial Navigation System (INS) allow associating to each frame the camera position and its angular orientation. Ground Control Points (GCPs) acquired through traditional topographic surveys allow to improve the image exterior orientation as well as the SfM techniques allow detecting millions of tie points for an accurate alignment of photos. We finalize the photogrammetric processing by creating 3D point clouds, DSM, DTM and orthophotos. The results demonstrate how SfM algorithms, implemented in commercial software, emphasize the potentials of the RadGyro and are very useful in the photogrammetric processing.

Authors:
Emanuele Tufarolo - University of Siena - Department of Environment, Earth and Physical Sciences and Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Riccardo Salvini - University of Siena - Department of Environment, Earth and Physical Sciences and Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Marcello Seddaiu - University of Siena - Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Chiara Lanciano - University of Siena - Department of Environment, Earth and Physical Sciences and Centre of Geotechnologies CGT - Via Vetri Vecchi, 34
Stefano Bernardinetti - University of Cagliari - Department of Chemical and Geological Sciences and Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Francesco Petrolo - University of Siena - Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Luigi Carmignani - University of Siena - Department of Environment, Earth and Physical Sciences and Centre of Geotechnologies CGT - Via Vetri Vecchi, 34 - 52027 San Giovanni Valdarno, Italy
Giovanni Massa - CGT Group, Strada Provinciale delle Miniere - Polo Industriale di Bomba - 52022 Cavriglia, Italy
Diego Pieruccioni - University of Pisa - Department of Earth Science - Via Santa Maria, 53 - 56126 Pisa, Italy
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