As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
The potential of Chinese high-spatial satellite imagery and deep learning models in coastline extraction were explored in this work. The performances of three deep learning models including U-Net, ResUnet, and SegNet were compared using 2-m resolution pansharpened products of GaoFen-1(GF1), and Ziyuan-3 (ZY3) imagery. The prediction results of ResUnet were significantly more accurate than those of U-Net and SegNet. The trained ResUnet model was then used to predict and extract the coastlines of Haikou City, Hainan Province. The 2-m resolution coastline products of Haikou City in 2016, 2018, and 2019 were obtained. The results showed that no significant changes in the coastline of Haikou City from 2016 to 2019.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.