Hong, S.B.; Lee, W.; Lee, J., and Youm, M., 2019. Development of coastline observation technique using InSAR. In: Lee, J.L.; Yoon, J.-S.; Cho, W.C.; Muin, M., and Lee, J. (eds.), The 3rd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 91, pp. 351-355. Coconut Creek (Florida), ISSN 0749-0208.

Coastlines are changing constantly due to natural forces or artificial activities. As the information on changing coastlines is critical for defining the land, acquisition and management of such information is important. To this end, this paper proposed a method of extracting the coastline information of area using satellite image acquired by InSAR satellite. NIR, satellite imaging technology for coastline extraction, has a disadvantage that it cannot penetrate obstacles present in the natural environment such as clouds floating on the earth surface. Since InSAR satellite uses micro waves to capture image, however, it is possible to acquire image through obstacles such as clouds. This paper is aimed at developing a technique to extract the coastline data via image processing, and algorithms such as Binarization, Noise (Salt&Pepper) Canceling, and Canny Edge Detection were used to this end. The algorithm developed was applied to the coast of Pohang and the extracted coastline was confirmed.