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methods. Computer Vision and Image Understanding 110, 260–280.
Geoinformation and Cartography. Springer, Berlin, Heidelberg, pp. 663–677.
https://doi.org/10.1007/978-3-540-77058-9_36
Valderrama-Landeros, L., Flores-de-Santiago, F., 2019. Assessing coastal erosion and accretion
trends along two contrasting subtropical rivers based on remote sensing data. Ocean &
Coastal Management 169, 58–67. https://doi.org/10.1016/j.ocecoaman.2018.12.006
Valentini, N., Balouin, Y., 2020. Assessment of a Smartphone-Based Camera System for Coastal
Image Segmentation and Sargassum monitoring. Journal of Marine Science and
Engineering 8, 23. https://doi.org/10.3390/jmse8010023
Vali, A., Comai, S., Matteucci, M., 2020. Deep Learning for Land Use and Land Cover
Classification Based on Hyperspectral and Multispectral Earth Observation Data: A
Review. Remote Sensing 12, 2495. https://doi.org/10.3390/rs12152495
Valiela, I., 2006. Global Coastal Change, ed. Blackwell, Oxford.
van Rijn, L.C., 2011. Coastal erosion and control. Ocean & Coastal Management, Concepts and
Science for Coastal Erosion Management (Conscience) 54, 867–887.
https://doi.org/10.1016/j.ocecoaman.2011.05.004
Vetrivel, A., Gerke, M., Kerle, N., Vosselman, G., 2015. Identification of damage in buildings
based on gaps in 3D point clouds from very high resolution oblique airborne images. ISPRS
Journal
of
Photogrammetry
and
Remote
Sensing
105,
61–78.
https://doi.org/10.1016/j.isprsjprs.2015.03.016
White, K., El Asmar, H.M., 1999. Monitoring changing position of coastlines using Thematic
Mapper imagery, an example from the Nile Delta. Geomorphology 29, 93–105.
https://doi.org/10.1016/S0169-555X(99)00008-2
Wong, P.-P., Losada, I.J., Gattuso, J.P., Hinkel, J., Khattabi, A., McInnes, K.L., Saito, Y.,
Sallenger, A., 2014. Coastal Systems and Low-Lying Areas Climate Change 2014: Impacts,
Change, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution
of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on
Climate (United Kingdom and New York, NY, USA). Cambridge University Press,
Cambridge.
Yang, B., Wei, Z., Li, Q., Li, J., 2013. Semiautomated Building Facade Footprint Extraction From
Mobile LiDAR Point Clouds. IEEE Geoscience and Remote Sensing Letters 10, 766–770.
https://doi.org/10.1109/LGRS.2012.2222342
Zhang, H., Fritts, J., Goldman, S., 2008. Image segmentation evaluation: A survey of unsupervised
methods. Computer Vision and Image Understanding 110, 260–280.
