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Shoreline Extraction from WorldView2 Satellite Data in the Presence of Foam Pixels Using Multispectral Classification Method ArchiMer
Minghelli, Audrey; Spagnoli, Jérôme; Lei, Manchun; Chami, Malik; Charmasson, Sabine.
Foam is often present in satellite images of coastal areas and can lead to serious errors in the detection of shorelines especially when processing high spatial resolution images (<20 m). This study focuses on shoreline extraction and shoreline evolution using high spatial resolution satellite images in the presence of foam. A multispectral supervised classification technique is selected, namely the Support Vector Machine (SVM) and applied with three classes which are land, foam and water. The merging of water and foam classes followed by a segmentation procedure enables the separation of land and ocean pixels. The performance of the method is evaluated using a validation dataset acquired on two study areas (south and north of the bay of Sendaï—Japan)....
Tipo: Text Palavras-chave: Shoreline; Foam; Classification; WorldView-2; Multispectral; High resolution satellite images.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00649/76116/77079.pdf
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