The Extended Stumpf Model for Water Depth Retrieval From Satellite Multispectral Images

被引:33
作者
Zhou, Guoqing [1 ,2 ,3 ,4 ,5 ]
Li, Jinwei [2 ]
Tian, Zhou [6 ]
Xu, Jiasheng [3 ]
Bai, Yuhang [3 ]
机构
[1] Guilin Univ Technol, Guangxi Key Lab Spatial Informat & Geomat, Guilin 541004, Peoples R China
[2] Guilin Univ Technol, Coll Earth Sci, Guilin 541004, Peoples R China
[3] Guilin Univ Technol, Coll Geomat & Geoinformat, Guilin 541004, Peoples R China
[4] Guilin Univ Technol, Coll Mech & Control Engn, Guilin 541004, Peoples R China
[5] Tianjin Univ, Sch Microelect, Tianjin 300072, Peoples R China
[6] Guilin Univ Technol, Guilin 541004, Peoples R China
关键词
Mathematical models; Satellites; Data models; Tides; Interpolation; Sea measurements; Predictive models; Bathymetry; instantaneous model; light detection and ranging (LiDAR); multispectral image; retrieval; tidal fluctuation; water depth; AIRBORNE LIDAR; NEURAL-NETWORK; LEVEL; BATHYMETRY; DECOMPOSITION; SHALLOW; TIDE; SEA;
D O I
10.1109/JSTARS.2024.3368761
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The commonly used water depth retrieval models do not consider the influence from instantaneous tidal fluctuations during satellite flying, which causes bathymetric errors. For this reason, the wavelet spline instantaneous tidal correction model, which is applied to calculate accurate tidal heights for any moment of satellite flight, is established for correction of water depth retrieval from satellite multispectral images. Two study areas, Saipan Island and Molokai Island in the USA, are selected, and Landsat 8 images are used to verify the accuracy achieved by the proposed model. Fifteen bathymetric check points and three check lines in each of study area are used to further verify the absolute and relative accuracy achievable for the proposed model. The experimental results from our model demonstrated that the mean absolute errors (relative to reference data) in study area, Saipan, and Molokai are 1.42 and 1.5 m, both of which decrease by 33.33% and 27.54%, respectively. The root mean square errors (RMSEs) are 1.67 and 1.83 m, both of which decrease by 31.84% and 27.09%, respectively. Therefore, it can be concluded that the proposed model can largely increase the accuracy of water depth retrieval by satellite multispectral images.
引用
收藏
页码:6779 / 6790
页数:12
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