A Comparative Analysis of Unmanned Aircraft Systems in Low Altitude Photogrammetric Surveys

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 3; p. 726
• Main Authors: Mugnai, Francesco, Tucci, Grazia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-02-2022
• Subjects: Accuracy; Aerial surveys; Aircraft; Algorithms; Altitude; Automation; Boundary conditions; Commercial aircraft; Comparative analysis; Cultural heritage; Digital cameras; Environmental restoration; Flight; Flight altitude; Global navigation satellite system; GNSS; Kinematics; Low altitude; Photogrammetry; point clouds; Polls & surveys; Remote sensing; Software; structure-from-motion (SfM); Topography; Trajectory control; UAS; Unmanned aerial vehicles; Unmanned aircraft
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs14030726

Comparing photogrammetric performances of four user-grade unmanned aircraft systems (UAS) is the main aim of this paper. This study investigates what is the more suitable UAS for specific applications considering the required scale factor, such as for architectural, environmental and restoration purposes. Some photogrammetric surveys were conducted in a 5 ha area using a Phantom 4 Adv, Mavic 2 Pro, Mavic Air 2 and Mavic Mini 2. These unmanned aircrafts are commercial systems used mainly by private professionals. Some photogrammetric reconstructions were carried out by varying flight altitude and camera settings of the 4 UAS. Structure-from-motion (SfM) algorithms were applied to the images taken from the UASs. The surveys’ quality was analyzed by comparing the ground targets’ coordinates measured on the field with indirect georeferencing through global navigation satellite system (GNSS). Fifty targets were installed and arranged following a kind of regular grid. For each photogrammetric flight, the boundary conditions were maintained the same, as well as the flight trajectories and the ground control point distribution. Altimetric and planimetric residuals were reported and compared for each photogrammetric survey. Using a regular grid of ground targets, the result obtained from Phantom 4 is one order of magnitude better than the ones obtained from the other UASs. Mavic Mini 2 leads to an error average of about 5 cm. Remembering that the Mavic Mini 2 is an ultralight drone (it does not require a pilot’s license), it could significantly reduce costs compared to all the others.