Coastal environments are facing constant changes over time due to their dynamic nature and geological, geomorphological, hydrodynamic, biological, climatic and anthropogenic factors. For these reasons, the monitoring of these areas is crucial for the safeguarding of the cultural heritage and the populations living there. The focus of this paper is shoreline extraction by means of an experimental algorithm, called J-Net Dynamic (Semeion Research Center of Sciences of Communication, Rome, Italy). It was tested on two types of image: a very high resolution (VHR) multispectral image (WorldView-2) and a high resolution (HR) radar synthetic aperture radar (SAR) image (Sentinel-1). The extracted shorelines were compared with those manually digitized for both images independently. The results obtained with the J-Net Dynamic algorithm were also compared with common algorithms, widely used in the literature, including theWorldView water index and the Canny edge detector. The results show that the experimental algorithm is more effective than the others, as it improves shoreline extraction accuracy both in the optical and SAR images.

Shoreline extraction based on an active connection matrix (ACM) image enhancement strategy / Zollini, Sara; Alicandro, Maria; Cuevas-González, María; Baiocchi, Valerio; Dominici, Donatella; Buscema, Paolo Massimo. - In: JOURNAL OF MARINE SCIENCE AND ENGINEERING. - ISSN 2077-1312. - 8:1(2020). [10.3390/jmse8010009]

Shoreline extraction based on an active connection matrix (ACM) image enhancement strategy

Baiocchi, Valerio;
2020

Abstract

Coastal environments are facing constant changes over time due to their dynamic nature and geological, geomorphological, hydrodynamic, biological, climatic and anthropogenic factors. For these reasons, the monitoring of these areas is crucial for the safeguarding of the cultural heritage and the populations living there. The focus of this paper is shoreline extraction by means of an experimental algorithm, called J-Net Dynamic (Semeion Research Center of Sciences of Communication, Rome, Italy). It was tested on two types of image: a very high resolution (VHR) multispectral image (WorldView-2) and a high resolution (HR) radar synthetic aperture radar (SAR) image (Sentinel-1). The extracted shorelines were compared with those manually digitized for both images independently. The results obtained with the J-Net Dynamic algorithm were also compared with common algorithms, widely used in the literature, including theWorldView water index and the Canny edge detector. The results show that the experimental algorithm is more effective than the others, as it improves shoreline extraction accuracy both in the optical and SAR images.
2020
active connection matrix (ACM); canny edge detector; coastline extraction; edge detection; J-Net dynamic; remote sensing; satellite images; sentinel-1; shoreline extraction; synthetic aperture radar (SAR); worldview-2
01 Pubblicazione su rivista::01a Articolo in rivista
Shoreline extraction based on an active connection matrix (ACM) image enhancement strategy / Zollini, Sara; Alicandro, Maria; Cuevas-González, María; Baiocchi, Valerio; Dominici, Donatella; Buscema, Paolo Massimo. - In: JOURNAL OF MARINE SCIENCE AND ENGINEERING. - ISSN 2077-1312. - 8:1(2020). [10.3390/jmse8010009]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1365810
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