Coastline Extraction Based on Deep Learning Using Gaofen-1 and Ziyuan-3 Satellite Imagery - Details

author：

Li, H. (Li, H..) ^[1] | Jiang, C. (Jiang, C..) ^[2] | Shi, J. (Shi, J..) ^[3] | Xie, Q. (Xie, Q..) ^[4] | Jing, L. (Jing, L..) ^[5]

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EI Scopus

Abstract：

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.　　©　2025　The　Authors.

Keyword：

Chinese high-resolution satellite imagery coastline extraction Deep learning

Community：

[ 1 ] [Li H.]Hainan Key Laboratory of Earth Observation, Hainan Aerospace Information Research Institute, Wenchang, 571399, China
[ 2 ] [Li H.]International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
[ 3 ] [Li H.]Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China
[ 4 ] [Jiang C.]International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
[ 5 ] [Jiang C.]College of Mathematics and System Sciences, Xinjiang University, Xinjiang, 830049, China
[ 6 ] [Shi J.]International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
[ 7 ] [Shi J.]College of Mathematics and System Sciences, Xinjiang University, Xinjiang, 830049, China
[ 8 ] [Xie Q.]Zijin School of Geology and Mining, Fuzhou University, Fuzhou, 350108, China
[ 9 ] [Jing L.]Hainan Key Laboratory of Earth Observation, Hainan Aerospace Information Research Institute, Wenchang, 571399, China
[ 10 ] [Jing L.]International Research Center of Big Data for Sustainable Development Goals, Beijing, 100094, China
[ 11 ] [Jing L.]Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100094, China

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Coastline Extraction Based on Deep Learning Using Gaofen-1 and Ziyuan-3 Satellite Imagery
2025，

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Source ：

ISSN： 0922-6389

Year： 2025

Volume： 404

Page： 185-193

Language： English

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ESI Highly Cited Papers on the List： 0 Unfold All

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