Home/Image Processing Projects - Detection oil-spill in satellite-based synthetic aperture radar (SAR) images by neural network
Image Processing Projects - Detection oil-spill in satellite-based synthetic aperture radar (SAR) images by neural network
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 images by neural network&caption=undefined&description=<p class="ql-align-justify"><span style="color: rgb(51, 51, 51);">A combination of airborne and satellite-based remote sensing is currently used for operational oil-spill monitoring worldwide. Space borne satellite-based synthetic aperture radar (SAR) images provides an overview of large ocean areas, and surveillance aircraft can be directed to check possible oil-spill locations to verify the spill and catch the polluter. Oil-spill detection is most effectively performed on a large scale using SAR images due to its all-weather capabilities (given wind speeds in the range 2–14 m/s) and good coverage. In this paper by using neural network the oil spill regions has been extracted in radar image. </span></p>&redirect_uri=http://www.facebook.com)
Image Processing Projects - Detection oil-spill in satellite-based synthetic aperture radar (SAR) images by neural network
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5,200
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6,000
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A combination of airborne and satellite-based remote sensing is currently used for operational oil-spill monitoring worldwide. Space borne satellite-based synthetic aperture radar (SAR) images provides an overview of large ocean areas
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