Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression

doi:10.2112/SI90-037.1

	Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression
	Zhang, Jing-Yu 1; Zhang, Jie 1; Ma, Yi 1; Chen, An-Na 1; Cheng, Jie 2; Wan, Jia-Xin 3
刊名	JOURNAL OF COASTAL RESEARCH
	2019-06
页码	294-301
关键词	Satellite-derived bathymetry support vector regression residual interpolation Arctic
ISSN号	0749-0208
DOI	10.2112/SI90-037.1
英文摘要	Bathymetric data are essential for navigation and marine engineering. Satellite-derived bathymetry (SDB) is an effective supplement to the ship-based echo sounder, especially for bathymetric measurement in the area that is difficult to reach. Accurate SDB in the Arctic waters is more complex by weak light, cloud, mist, floating ice and so on than in middle or lower latitude clean waters. This paper performs SDB based on Support vector regression (SVR) from multi-spectral imagery of Sentinel-2 in shallow water (0-20 m) of Pomorskiy Proliv of Northern Russia, and corrects the estimated water depth with the interpolation of residuals. The results indicate that the highest accuracy of SDB based on SVR is achieved by employing radial basis function on the full feature inputs, with the mean absolute error (MAE) of 2.5 m and the mean relative error of 44.9 %. After the residual interpolation correction, the overall MAE reduces to 2.0 m, and the root mean square errors decrease by at least 0.3 m among different depth ranges. The approach provides technical support for obtaining a wide range and relatively high spatial resolution of bathymetric data in the Arctic region.
资助项目	Key Project of Natural Science Foundation, China[51839002]
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology
语种	英语
出版者	COASTAL EDUCATION & RESEARCH FOUNDATION
WOS记录号	WOS:000485714500038
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30238]
专题	自然资源部第一海洋研究所
通讯作者	Ma, Yi
作者单位	1.Minist Nat Resources, Inst Oceanog 1, Marine Phys & Remote Sensing Res Dept, Qingdao, Shandong, Peoples R China 2.Shandong Univ Sci & Technol, Coll Geomat, Qingdao, Shandong, Peoples R China 3.China Univ Petr, Sch Geosci, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jing-Yu,Zhang, Jie,Ma, Yi,et al. Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression[J]. JOURNAL OF COASTAL RESEARCH,2019:294-301.
APA	Zhang, Jing-Yu,Zhang, Jie,Ma, Yi,Chen, An-Na,Cheng, Jie,&Wan, Jia-Xin.(2019).Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression.JOURNAL OF COASTAL RESEARCH,294-301.
MLA	Zhang, Jing-Yu,et al."Satellite-Derived Bathymetry Model in the Arctic Waters Based on Support Vector Regression".JOURNAL OF COASTAL RESEARCH (2019):294-301.