Abstract
Abstract. In this article, we study the interest of PiCam and its possibilities offered for the realization of a light payload (small and inexpensive) in order to perform the 3D reconstruction of dynamic scenes (underwater or aerial) in close-range remote sensing. We see that on these observation scales, movements of the scenes due to flora and fauna cannot be ignored if we want these objects to be part of the final model. We review the sensors used in the literature for 3D reconstruction and then present the arguments in favor of PiCam with regard to the constraints posed by the use of light and agile vectors. The main issue is the synchronization of these low cost sensors, which is not native: we explain the different steps to obtain a satisfactory synchronization rate with regard to the dynamism of the studied scenes and present the results obtained.
Highlights
In close remote sensing, when we study natural environments, being very close makes us sentivite to the dynamism of the scene
The first one uses a digital timer to the thousandth of a second displayed on a screen. It shows that the use of RaspiCam on a non-real-time OS (Linux) gave a synchronization delay of 50ms, which is already better than for GoPro cameras by a factor of 10
These results show that the quality of our synchronization is such that we obtain almost as many inliers on the dynamic scenes as on the static scenes
Summary
In close remote sensing, when we study natural environments, being very close makes us sentivite to the dynamism of the scene. In close-range remote sensing, three-dimensional reconstruction works are based on images acquired with a centimetric GSD (Ground Sample Distance) for a lot of aerial studies (Bulatov et al, 2011, Kng et al, 2011, Rossi et al, 2017) and often a subcentrimetric GSD in most aerial or underwater studies: about 50 mm (Aicardi et al, 2018), 3 to 5 mm (Skarlatos et al, 2012, Menna et al, 2018), 1 to 2 mm (Henderson et al, 2013, Burns et al, 2015) or even less than 1mm (Schmidt, Rzhanov, 2012, Gracias et al, 2013, Germanese et al, 2019) With this GSD, the observed small movements in the scene are very quickly visible: sensitivity to dynamism becomes a real problem, especially since the GSD is small. Consumer DSLR (Digital Single-Lens Reflex) cameras: EOS 5D Mark II, M, 600D and 550D from Canon (Nicosevici, Garcia, 2008, O’Byrne et al, 2015, Rossi et al, 2017, Germanese et al, 2019), K5 from Pentax (Burns et al, 2015), A700 from Sony (Diamanti, Vlachaki, 2015) or D70, D200, D300, D700, D750 and D7000 from Nikon (Barazzetti et al, 2010, Bianco et al, 2011, Drap, 2012, Gintert et al, 2012, Menna et al, 2018)
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More From: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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