Advances in Shoreline Detection using Satellite Imagery

Author:

Kang Tae-Soon, ,Yoo Ho-Jun,Hwang Ye-Jin

Publisher

The Korean Society of Marine Environment and Safety

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference70 articles.

1. Acharya, T. D. , D. H. Lee, I. T. Yang, and J. K. Lee (2016), Identification of water bodies in a landsat 8 OLI image using a J48 decision tree. Sensors. Vol. 16, No. 7, pp. 1-16.

2. Aghdami-Nia, M. , R. Shah-Hpsseomo, A. Rostami, and S. Homayouni (2022), Automatic coastline extraction through enhanced sea-land segmentation by modifying Standard U-Net, J. of Earth Observation and Geoinformation, Vol. 109, pp. 1-15.

3. Al-Mansoori, S. and F. Al-Marzouqi (2016), Coastline extraction using satellite imagery and image processing techniques international journal of current engineering and Technology coastline extraction using satellite imagery and image processing techniques. In: 1245| International Journal of Current Engineering and Technology, Vol. 6. Issue 4, pp. 1-7.

4. Ali, T. A. , S. Atabay, M. Mortula, and R. Ma (2015), Semiautomatic extraction of the shoreline from high-resolution satellite imagery and coastal terrain model. Survey. Land Inf. Sci. Vol. 74, pp. 15-21.

5. Almonacid-Caballer, J. , E. S´anchez-Garcia, J. E. Pardo-Pascual, A. A. Balaguer-Beser, and J. Palomar-V´azquez (2016), Evaluation of annual mean shoreline position deduced from Landsat imagery as a mid-term coastal evolution indicator. Mar. Geol. Vol. 372, pp. 79-88.

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