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In this paper, we present a framework to model and to use knowledge provided by experts for remote sensing image interpretation of coastal area.
In this paper, we present a framework to model and to use knowledge provided by experts for remote sensing image interpretation of coastal area.
In this paper, we present a framework to model and to use knowledge provided by experts for remote sensing image interpretation of coastal area.
Bibliographic details on Coastal image interpretation using background knowledge and semantics.
Coastal image interpretation using background knowledge and semantics. G Forestier, C Wemmert, A Puissant. Computers & Geosciences 54, 88-96, 2013. 31, 2013.
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May 19, 2024 · Abstract— We interpret a deep-learning semantic segmentation model used to classify coastline satellite images into land and water.
Coasts were formed with the overall shape of earth΄s surface. Τhey represent a landform, as determined by the science of geomorphology.
Large, long-term coastal imagery datasets are nowadays a low-cost source of information for various coastal re- search disciplines.
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Jun 16, 2024 · We interpret a deep-learning semantic segmentation model used to classify coastline satellite images into land and water.
Jun 14, 2024 · The results indicate that several tree species can be mapped without generating new training data and by only using preexisting knowledge from citizen science.