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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IMEKO-TC19-MetroSea-2020-34.pdf

DOI

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IMEKO TC

TC19 - Environmental Measurements

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