数字海洋与水下攻防2024，Vol.7Issue(1)：9-19,11.DOI:10.19838/j.issn.2096-5753.2024.07.002
基于遥感的海洋三维温盐场智能探测研究进展
Research Progress on Intelligent Detection of 3D Ocean Temperature and Salinity Based on Remote Sensing
摘要
Abstract
The 3D(three-dimensional)temperature and salinity field information of the ocean is an important parameter for describing the physical properties of the ocean and mastering the process of ocean physical movement.Obtaining accurate 3D temperature and salinity information of the ocean is of great significance for understanding,developing and utilizing the ocean,and marine scientific research.With the development of artificial intelligence and deep learning methods,intelligent detection of subsurface 3D temperature and salinity fields using deep learning methods has become one of the hotspots.This article reviews the research progress related to intelligent detection of 3D temperature and salinity fields of the ocean from the perspectives of ocean temperature and salinity observation datasets,traditional machine learning-based 3D temperature and salinity intelligent detection,general neural network-based 3D temperature and salinity intelligent detection,and deep learning-based 3D temperature and salinity intelligent detection.Finally,the problems and future development trends of intelligent detection of 3D temperature-salinity fields are summarized and prospected.关键词
卫星遥感/海面高度/海面温度/海面盐度/三维温盐场/深度学习Key words
satellite remote sensing/sea surface height/sea surface temperature/sea surface salinity/three-dimensional temperature and salinity/deep learning分类
海洋科学引用本文复制引用
杨俊钢,穆佳栋,谷浩然,荀佳伟..基于遥感的海洋三维温盐场智能探测研究进展[J].数字海洋与水下攻防,2024,7(1):9-19,11.基金项目
国家自然科学基金项目"基于海洋表层卫星遥感观测的海洋水下动力环境智能探测方法研究"(62231028). （62231028）
