http://www.cnr.it/ontology/cnr/individuo/prodotto/ID8300
Coastline detection from SAR images by level set model (Articolo in rivista)
- Type
- Label
- Coastline detection from SAR images by level set model (Articolo in rivista) (literal)
- Anno
- 2009-01-01T00:00:00+01:00 (literal)
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- Cerimele M.M.; Cinque L.; Cossu R.; Galiffa R. (literal)
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Coastline detection from SAR images by level set model (literal)
- Abstract
- In this paper we present an innovative and automatic procedure
which is used to extract the coastline from SAR (Synthetic Aperture
Radar) images by the level set model. This model consists in a PDE (Partial
Differential Equation) equation governing the evolution of a curve
corresponding to the zero level of a 3D function, called level set function,
until the curve reaches the edge of the region to be segmented. A
coastline is the boundary between land and sea masses. Detecting the
coastline is of fundamental importance when monitoring various natural
phenomena such as tides, coastal erosion and the dynamics of glaciers.
In this case SAR images show problems which arise from the presence
of the speckle noise and of the strong signal deriving from the rough
or slight sea. In fact in the case of heavy sea the signal determines an
intensity similar to the one of land, making it difficult to distinguish the
coastline. (literal)
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