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Assessment of shoreline detection using UAV

Silvio Del Pizzo, Antonio Angrisano, Salvatore Gaglione, Salvatore Troisi
  • 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.
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  • DOI:
    _unreg_tc19-SEA-2020.34

Event details:

  • IMEKO TC:
    TC19
  • Event name:
    MetroSea 2020
  • Title:

    TC19 International Workshop on Metrology for the Sea

  • Place:
    Naples, ITALY
  • Time:
    05 October 2020 - 07 October 2020