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Article

Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern

1
IUEM - UMS 3113, Université de Bretagne Occidentale, IUEM, CNRS, Technopôle Brest-Iroise, Rue Dumont d’Urville, Plouzané F-29280, France
2
Laboratoire de Géologie de Lyon: Terre, Planètes, Environnement - UMR 5276, Université de Lyon, Université Claude Bernard Lyon 1, ENS Lyon, CNRS, F-69622 Villeurbanne, France
3
Laboratoire Géosciences Océans-UMR 6538, Université de Bretagne Occidentale, IUEM, CNRS, Technopôle Brest-Iroise, Rue Dumont d’Urville, Plouzané 29280, France
4
Cerema, Direction Eau Mer et Fleuves, 134 Rue de Beauvais, 60280 Margny-lès-Compiègne, France
*
Author to whom correspondence should be addressed.
Received: 15 November 2018 / Revised: 20 December 2018 / Accepted: 21 December 2018 / Published: 23 December 2018
(This article belongs to the Special Issue Drones for Coastal Environments)
Owing to the combination of technological progress in Unmanned Aerial Vehicles (UAVs) and recent advances in photogrammetry processing with the development of the Structure-from-Motion (SfM) approach, UAV photogrammetry enables the rapid acquisition of high resolution topographic data at low cost. This method is particularly widely used for geomorphological surveys of linear coastal landforms. However, linear surveys are generally pointed out as problematic cases because of geometric distortions creating a “bowl effect” in the computed Digital Elevation Model (DEM). Secondly, the survey of linear coastal landforms is associated with peculiar constraints for Ground Control Points (GCPs) measurements and for the spatial distribution of the tie points. This article aims to assess the extent of the bowl effects affecting the DEM generated above a linear beach with a restricted distribution of GCPs, using different acquisition scenarios and different processing procedures, both with PhotoScan® software tool and MicMac® software tool. It appears that, with a poor distribution of the GCPs, a flight scenario that favors viewing angles diversity can limit DEM’s bowl effect. Moreover, the quality of the resulting DEM also depends on the good match between the flight plan strategy and the software tool via the choice of a relevant camera distortion model. View Full-Text
Keywords: UAV; Structure-from-Motion photogrammetry; DEM; geometric distortion; bundle adjustment; coastal monitoring UAV; Structure-from-Motion photogrammetry; DEM; geometric distortion; bundle adjustment; coastal monitoring
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MDPI and ACS Style

Jaud, M.; Passot, S.; Allemand, P.; Le Dantec, N.; Grandjean, P.; Delacourt, C. Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern. Drones 2019, 3, 2. https://doi.org/10.3390/drones3010002

AMA Style

Jaud M, Passot S, Allemand P, Le Dantec N, Grandjean P, Delacourt C. Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern. Drones. 2019; 3(1):2. https://doi.org/10.3390/drones3010002

Chicago/Turabian Style

Jaud, Marion, Sophie Passot, Pascal Allemand, Nicolas Le Dantec, Philippe Grandjean, and Christophe Delacourt. 2019. "Suggestions to Limit Geometric Distortions in the Reconstruction of Linear Coastal Landforms by SfM Photogrammetry with PhotoScan® and MicMac® for UAV Surveys with Restricted GCPs Pattern" Drones 3, no. 1: 2. https://doi.org/10.3390/drones3010002

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