Journal of Marine Science and Engineering · 2019 · 42 citations · 20 references
Natural SciencesEarth SciencesGeoinformaticsCoastal GeographyCoastal Zone ManagementRemote SensingDigital Image ProcessingRemote Sensing Change DetectionRemote Sensing Image AnalysisRemote Sensing ImagerySatellite Image InterpretationSeafloor MappingCanny Edge DetectorMultispectral Image AnalysisRemote Sensing ApplicationsRemote Sensing Of CoastlinesRemote Sensing Of Shoreline ChangeShoreline Change DetectionShoreline MappingSynthetic Aperture Radar
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 the WorldView 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.
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