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.