The shoreline is an important feature of the costal morphology. Several methodologies are used to detect such line. In this paper a photogrammetric approach was applied to achieve both an accurate shoreline detection and a DTM (Digital Terrain Model) of the coast using Structure from Motion (SfM) algorithms. The goal of this method is to extract the shoreline from an accurate three-dimensional model of the coast. The proposed approach was performed using an Unmanned Aerial Vehicle (UAV) equipped with a digital camera. In order to avoid regrettable deformations on the 3D model several Ground Control Points were located on the scene, furthermore a precision assessment was performed using check points. The obtained result was compared with a classic RTK-GNSS survey of the shoreline performed by a skilled operator.
Assessment of shoreline detection using UAV
Pizzo S. D.;Angrisano A.;Gaglione S.;Troisi S.
2020-01-01
Abstract
The shoreline is an important feature of the costal morphology. Several methodologies are used to detect such line. In this paper a photogrammetric approach was applied to achieve both an accurate shoreline detection and a DTM (Digital Terrain Model) of the coast using Structure from Motion (SfM) algorithms. The goal of this method is to extract the shoreline from an accurate three-dimensional model of the coast. The proposed approach was performed using an Unmanned Aerial Vehicle (UAV) equipped with a digital camera. In order to avoid regrettable deformations on the 3D model several Ground Control Points were located on the scene, furthermore a precision assessment was performed using check points. The obtained result was compared with a classic RTK-GNSS survey of the shoreline performed by a skilled operator.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
