A New Simple Procedure for Extracting Coastline from SAR Image Based on Low Pass Filter and Edge Detection Algorithm

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  • Ni Nyoman Pujianiki Program Studi Teknik Sipil, Universitas Udayana, Denpasar, Bali, Indonesia
  • I Nyoman Sudi Parwata Centre for Remote Sensing and Ocean Sciences (CReSOS), Udayana University
  • Takahiro Osawa Centre for Research and Application of Satellite Remote Sensing (YUCARS), Yamaguchi University Ube City, Japan

Abstract

This study proposes a new simple procedure for extracting coastline from Synthetic Aperture Radar (SAR) images by utilizing a low-pass filter and edge detection algorithm. The low-pass filter is used to improve the histogram of the pixel value of the SAR image. It provides better distribution of pixel value and makes it easy to separate between sea and land surfaces. This study provides the processing steps using open-source software, i.e., SNAP SAR processor and QGIS application. This procedure has been tested using dual polarization Sentinel-1 (10x10 meters resolution) and single polarization ALOS-2 (3x3 meters resolution) dataset. The results show that using Sentinel-1 with dual polarization (VH) provides a better result than single polarization (VV). In the ALOS-2 case, only single polarization (HH) is available. However, even using only HH polarization, ALOS-2 provides a good result. In terms of resolution, ALOS-2 provides a better coastline than Sentinel-1 data due to ALOS-2 has better resolution. This procedure is expected to be helpful to detect coastline changes and for coastal area management.

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References

[1] M. J. F. Stive et al., "Variability of shore and shoreline evolution," Coastal Engineering, vol. 47, pp. 211–235, 2002, [Online]. Available: www.elsevier.com/locate/coastaleng
[2] G. Anfuso, E. Pranzini, and G. Vitale, "An integrated approach to coastal erosion problems in northern Tuscany (Italy): Littoral morphological evolution and cell distribution," Geomorphology, vol. 129, no. 3–4, pp. 204–214, Jun. 2011, doi: 10.1016/j.geomorph.2011.01.023.
[3] R. M. Sorensen, Basic Coastal Engineering, Third edit. Springer Science & Business Media, 2005.
[4] T. A. Łabuz, "Environmental Impacts—Coastal Erosion and Coastline Changes," pp. 381–396, 2015, doi: 10.1007/978-3-319-16006-1_20.
[5] A. Spinosa, A. Ziemba, A. Saponieri, V. D. Navarro-Sanchez, L. Damiani, and G. el Serafy, "Automatic extraction of shoreline from satellite images: A new approach," in 2018 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2018 - Proceedings, Mar. 2019, pp. 33–38. doi: 10.1109/MetroSea.2018.8657864.
[6] I. Sekovski, F. Stecchi, F. Mancini, and L. del Rio, "Image classification methods applied to shoreline extraction on very high-resolution multispectral imagery," International Journal of Remote Sensing, vol. 35, no. 10, pp. 3556–3578, 2014, doi: 10.1080/01431161.2014.907939.
[7] T. Y. Shyu, H. C. Yeh, and C. C. Liu, "Mapping of a boundary line from remote sensing: An applied case study on Little Okinawa Island," International Journal of Remote Sensing, vol. 33, no. 23, pp. 7599–7608, 2012, doi: 10.1080/01431161.2012.685987.
[8] L. C. Chen and J. Y. Rau, "Detection of shoreline changes for tideland areas using multi-temporal satellite images," International Journal of Remote Sensing, vol. 19, no. 17, pp. 3383–3397, 1998, doi: 10.1080/014311698214055.
[9] F. S. Kawakubo, R. G. Morato, R. S. Nader, and A. Luchiari, "Mapping changes in coastline geomorphic features using landsat TM and ETM+ imagery: Examples in southeastern Brazil," International Journal of Remote Sensing, vol. 32, no. 9, pp. 2547–2562, 2011, doi: 10.1080/01431161003698419.
[10] C. Wang, J. Zhang, and Y. Ma, "Coastline interpretation from multispectral remote sensing images using an association rule algorithm," International Journal of Remote Sensing, vol. 31, no. 24, pp. 6409–6423, 2010, doi: 10.1080/01431160903413739.
[11] A. Ahmed, F. Drake, R. Nawaz, and C. Woulds, "Where is the coast? Monitoring coastal land dynamics in Bangladesh: An integrated management approach using GIS and remote sensing techniques," Ocean and Coastal Management, vol. 151, no. July, pp. 10–24, 2018, doi: 10.1016/j.ocecoaman.2017.10.030.
[12] O. A. Dada, A. O. Agbaje, R. B. Adesina, and Y. A. Asiwaju-Bello, "Effect of coastal land use change on coastline dynamics along the Nigerian Transgressive Mahin mud coast," Ocean and Coastal Management, vol. 168, no. April 2018, pp. 251–264, 2019, doi: 10.1016/j.ocecoaman.2018.11.014.
[13] S. Patel, E. Shah, P. Jayaprasad, and M. E. James, "Changes in Antarctic coastline between 1997 and 2016 using RADARSAT and MODIS data," International Journal of Remote Sensing, vol. 41, no. 4, pp. 1389–1414, Feb. 2019, doi: 10.1080/01431161.2019.1667550.
[14] M. Modava and G. Akbarizadeh, "Coastline extraction from SAR images using spatial fuzzy clustering and the active contour method," International Journal of Remote Sensing, vol. 38, no. 2, pp. 355–370, Jan. 2017, doi: 10.1080/01431161.2016.1266104.
[15] E. Ferrentino, F. Nunziata, and M. Migliaccio, "Full-polarimetric sar measurements for coastline extraction and coastal area classification," International Journal of Remote Sensing, vol. 38, no. 23, pp. 7405–7421, Dec. 2017, doi: 10.1080/01431161.2017.1376128.
[16] X. Ding and X. Li, "Shoreline movement monitoring based on SAR images in Shanghai, China," International Journal of Remote Sensing, vol. 35, no. 11–12, pp. 3994–4008, 2014, doi: 10.1080/01431161.2014.916480.
[17] Y. Ouyang, J. Chong, and Y. Wu, "Two coastline detection methods in synthetic aperture radar imagery based on level set algorithm," International Journal of Remote Sensing, vol. 31, no. 17, pp. 4957–4968, 2010, doi: 10.1080/01431161.2010.485142.
[18] S. Zollini, M. Alicandro, M. Cuevas-González, V. Baiocchi, D. Dominici, and P. M. Buscema, "Shoreline extraction based on an active connection matrix (ACM) image enhancement strategy," Journal of Marine Science and Engineering, vol. 8, no. 1, 2020, doi: 10.3390/jmse8010009.
[19] C. Dai, I. M. Howat, E. Larour, and E. Husby, "Coastline extraction from repeat high resolution satellite imagery," Remote Sensing of Environment, vol. 229, no. April, pp. 260–270, 2019, doi: 10.1016/j.rse.2019.04.010.
[20] R. Gens, "Remote sensing of coastlines: Detection, extraction and monitoring," International Journal of Remote Sensing, vol. 31, no. 7. Taylor and Francis Ltd., pp. 1819–1836, 2010. doi: 10.1080/01431160902926673.
[21] R. Pelich, M. Chini, R. Hostache, P. Matgen, and C. Lopez-Martinez, "Coastline Detection Based on Sentinel-1 Time Series for Ship- and Flood-Monitoring Applications," IEEE Geoscience and Remote Sensing Letters, pp. 1–5, 2020, doi: 10.1109/lgrs.2020.3008011.
[22] M. Schmitt, G. Baier, and X. X. Zhu, "Potential of nonlocally filtered pursuit monostatic TanDEM-X data for coastline detection," ISPRS Journal of Photogrammetry and Remote Sensing, vol. 148, no. July 2018, pp. 130–141, 2019, doi: 10.1016/j.isprsjprs.2018.12.007.
Published
2021-11-29
How to Cite
PUJIANIKI, Ni Nyoman; SUDI PARWATA, I Nyoman; OSAWA, Takahiro. A New Simple Procedure for Extracting Coastline from SAR Image Based on Low Pass Filter and Edge Detection Algorithm. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], v. 12, n. 3, p. 175-185, nov. 2021. ISSN 2541-5832. Available at: <https://ojs.unud.ac.id/index.php/lontar/article/view/78801>. Date accessed: 27 may 2022. doi: https://doi.org/10.24843/LKJITI.2021.v12.i03.p05.