Titlebook: European Spatial Data for Coastal and Marine Remote Sensing; Proceedings of Inter Simona Niculescu Conference proceedings 2023 The Editor(s

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Computational Imaging and VisionAR) dataset of 1 m resolution is used as ground truth to train the model. From experiments, the overall accuracy evaluation of the model shows a good relationship (. = 0.99, standard error = 0.492) between the predicted and reference depth values that satisfy the International Hydrographic Organizat

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Communications and Control Engineeringwave height reduction of the mangrove forest and the constructed breakwater to protect the sea dike. Wave height reduces more than 50% when passing through the mangrove forest belt, corresponding to a maximum height (.) of 62.3%, 1/10 . at 55.3%, and 1/3 . at 54%. For the constructed breakwater, the

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Characterizing Heteroscedasticity,olution was used, sliced into sub-regions, and analyzed by a convolution kernel of size 3*3. The classification results have revealed a very high accuracy of 92%. A validation process was undertaken by comparing the results to field surveys (reference) acquired on the same day as the satellite image

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Generalized Fractional Programming,omponents (i.e., architecture, substrate composition, and benthic community) on the structure of fish community is here investigated, as well as the interest of photogrammetry in comparison to visual observation (Fig. 1).

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European Spatial Data for Coastal and Marine Remote SensingProceedings of Inter

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European Spatial Data for Coastal and Marine Remote Sensing978-3-031-16213-8

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