The feasibility of unmanned-aerial-vehicle-based photogrammetry was assessed for the reconstruction of high-resolution topography and geomorphic features of quarries by nadir and off-nadir imagery. The test site was a quarry located in the rural area of Turi (Bari, southern Italy). Two processing scenarios were created. Nadir images were initially used, and images acquired with off-nadir angles were added. An accurate set of ground control points (GCPs) were surveyed for both georeferencing purposes and validation processes. In the reconstruction of the surfaces, an accuracy of a few centimeters was achieved in the final positioning of point clouds representing the main geometries of quarry environment. However, greatest differences were found along the edges or the lines characterized by sudden slope changes. To better understand such results, some characteristic quarry shapes depicted by both the scenarios were compared to those surveyed by a total station used as an independent benchmark technique. It allowed to define the benefits introduced by the joint use of nadir and oblique images in the delineation of quarry shapes, surface discontinuities and better descriptions of sub-vertical walls. Beside the evaluation of benefits introduced by use of oblique cameras, the effectiveness of the proposed methodology was also discussed with alternative technologies. Unmanned aerial platforms represent an effective solution, with the need for few accurate GCPs.
|Data di pubblicazione:||2017|
|Titolo:||Combining nadir and oblique UAV imagery to reconstruct quarry topography: methodology and feasibility analysis|
|Autore/i:||Rossi, Paolo; Mancini, Francesco; Dubbini, Marco; Mazzone, Francesco; Capra, Alessandro|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1080/22797254.2017.1313097|
|Codice identificativo ISI:||WOS:000405204300018|
|Codice identificativo Scopus:||2-s2.0-85038215707|
|Citazione:||Combining nadir and oblique UAV imagery to reconstruct quarry topography: methodology and feasibility analysis / Rossi, Paolo; Mancini, Francesco; Dubbini, Marco; Mazzone, Francesco; Capra, Alessandro. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - 50:1(2017), pp. 211-221.|
|Tipologia||Articolo su rivista|
I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris