04. Shoreline detection using remote sensing data with deep learning technology

Nam Nguyễn Văn, Đoàn Nguyễn Thanh, Tùng Nguyễn Thanh


This paper presented method identifying shorelines using remote sensing images and deep learning method. Experiments were conducted at two areas in Vietnam using Sentinel-2 satellite imagery. Comparing deep learning with traditional methods, such as support vector machine (SVM) and NDWI index shows that deep learning is an effective method for semantic segmentation remote sensing data. Measures for improving the accuracy of deep learning model when determining water surface were also proposed.

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Nam Nguyễn Văn
nvnam.tdbdv@hunre.edu.vn (Primary Contact)
Đoàn Nguyễn Thanh
Tùng Nguyễn Thanh
Nguyễn Văn, N., Nguyễn Thanh, Đoàn, & Nguyễn Thanh, T. (2020). 04. Shoreline detection using remote sensing data with deep learning technology. Science Journal of Natural Resources and Environment, (34), 30–37. Retrieved from https://tapchikhtnmt.hunre.edu.vn/index.php/tapchikhtnmt/article/view/291

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