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A physics-enhanced deep-learning model for estimating turbid shallow water depth from SAR images

Tian MA Qing XU Xiaobin YIN Yan LI Letian LÜ Kaiguo FAN

海洋湖沼学报(英文版)2026,Vol.44Issue(1):36-49,14.
海洋湖沼学报(英文版)2026,Vol.44Issue(1):36-49,14.DOI:10.1007/s00343-025-5008-1

A physics-enhanced deep-learning model for estimating turbid shallow water depth from SAR images

A physics-enhanced deep-learning model for estimating turbid shallow water depth from SAR images

Tian MA 1Qing XU 2Xiaobin YIN 2Yan LI 1Letian LÜ 1Kaiguo FAN3

作者信息

  • 1. College of Marine Technology/Sanya Oceanographic Institution,Ocean University of China,Qingdao 266100,China
  • 2. College of Marine Technology/Sanya Oceanographic Institution,Ocean University of China,Qingdao 266100,China||Laboratory for Regional Oceanography and Numerical Modeling,Qingdao Marine Science and Technology Center,Qingdao 266100,China
  • 3. National Key Laboratory of Intelligent Spatial Information,Beijing 100094,China
  • 折叠

摘要

关键词

shallow water depth/synthetic aperture radar(SAR)/deep learning/Changjiang River estuary

Key words

shallow water depth/synthetic aperture radar(SAR)/deep learning/Changjiang River estuary

引用本文复制引用

Tian MA,Qing XU,Xiaobin YIN,Yan LI,Letian LÜ,Kaiguo FAN..A physics-enhanced deep-learning model for estimating turbid shallow water depth from SAR images[J].海洋湖沼学报(英文版),2026,44(1):36-49,14.

基金项目

Supported by the National Natural Science Foundation of China(Nos.T2261149752,41976163,42476172) (Nos.T2261149752,41976163,42476172)

海洋湖沼学报(英文版)

2096-5508

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