An Ensemble Deep Learning Based Shoreline Segmentation Approach (Waternet) From Landsat 8 Oli Images
| Autor: | Bülent Bayram, Onur Can Bayrak, Burak Akpinar, Fırat Erdem, Tolga Bakirman |
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| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Computer science Aerospace Engineering Environmental pollution 01 natural sciences 0103 physical sciences Satellite image Segmentation Resource management 010303 astronomy & astrophysics 0105 earth and related environmental sciences Shore geography geography.geographical_feature_category business.industry Deep learning Global warming Astronomy and Astrophysics Geophysics Space and Planetary Science General Earth and Planetary Sciences Satellite Artificial intelligence business Cartography |
| Popis: | Shorelines constantly vary due to natural, urbanization and anthropogenic effects such as global warming, population growth, and environmental pollution. Sustainable monitoring of coastal changes is vital in terms of coastal resource management, environmental preservation and planning. Publicly available Landsat 8 OLI (Operational Land Manager) images provide accurate, reliable, temporal and up-to-date information about coastal areas. Recently, the use of machine learning and deep learning algorithms have become widespread. In this study, we used our public Landsat 8 OLI satellite image dataset to create a majority voting method which is an ensemble automatic shoreline segmentation system (WaterNet) to obtain shorelines automatically. For this purpose, different deep learning architectures have been utilized namely as Standard U-Net, Dilated U-Net, Fractal U-Net, FC-DenseNet, and Pix2Pix. Also, we have suggested a novel framework to create labeling data from OpenStreetMap service to create a unique dataset called YTU-WaterNet. According to the results, IoU and Fl scores have been calculated as 99.59% and 99.79% for the WaterNet. The results indicate that the WaterNet method outperforms other methods in terms of shoreline extraction from Landsat 8 OLI satellite images. (C) 2020 COSPAR. Published by Elsevier Ltd. All rights reserved. |
| Databáze: | OpenAIRE |
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