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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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Analysis of riverine suspended particulate matter fluxes (Gulf of Lion, Mediterranean Sea) using a synergy of ocean color observations with a 3-D hydrodynamic sediment transport model ArchiMer
Le Fouest, Vincent; Chami, Malik; Verney, Romaric.
The export of riverine suspended particulate matter (SPM) in the coastal ocean has major implications for the biogeochemical cycles. In the Mediterranean Sea (France), the Rhone River inputs of SPM into the Gulf of Lion (GoL) are highly variable in time, which severely impedes the assessment of SPM fluxes. The objectives of this study are (i) to investigate the prediction of the land-to-ocean flux of SPM using the complementarity (i.e., synergy) between a hydrodynamic sediment transport model and satellite observations, and (ii) to analyze the spatial distribution of the SPM export. An original approach that combines the MARS-3D model with satellite ocean color data is proposed. Satellite-derived SPM and light penetration depth are used to initialize...
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Ano: 2015 URL: http://archimer.ifremer.fr/doc/00266/37728/35736.pdf
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SOFI: a 3D simulator for the generation of underwater optical images ArchiMer
Allais, Anne-gaelle; Bouhier, Marie-edith; Edmond, Toussaint; Maciol, Nicolas; Nicolas, Stephane; Boffety, M.; Galland, Frederic; Chami, Malik; Ebert, Kerstin.
We present an original simulator - called SOFI - for the synthetic generation of underwater optical images. The simulator architecture is flexible and relies on flow diagrams in order to allow the integration of various models for image generation which are based on the underwater optical phenomena. The objective is also to ensure real time or quasi real time performance so it takes advantage of the latest technologies, such as GPGPU, and relies on GPU programming under CUDA. Two kinds of models for image generation are presented and should be integrated in SOFI: (1) the OSOA model based on the radiative transfer theory and (2) global image modeling which describes globally how an image is deteriorated under the effects of sea water.
Tipo: Text Palavras-chave: Simulator; GPU; GPGPU; Underwater; Radiative transfer; Image modeling.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00072/18326/16012.pdf
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