MF多源测深数据融合方法及大洋水深模型构建

doi:10.11947/j.AGCS.2019.20180495

测绘学报 ›› 2019, Vol. 48 ›› Issue (9): 1171-1181.doi: 10.11947/j.AGCS.2019.20180495

MF多源测深数据融合方法及大洋水深模型构建

刘洋^1,2,3, 吴自银^1,2,3, 赵荻能^1,2, 周洁琼^1,2, 尚继宏^1,2, 王明伟^1,2, 朱超^1,2, 鲁号号^1,2

1. 自然资源部第二海洋研究所, 浙江杭州 310012;
2. 国家海洋局海底科学重点实验室, 浙江杭州 310012;
3. 上海交通大学海洋研究院, 上海 200030

收稿日期:2018-10-30 修回日期:2019-03-03 出版日期:2019-09-20 发布日期:2019-09-25
通讯作者: 吴自银 E-mail:zywu@vip.163.com
作者简介:刘洋(1993-),男,硕士,研究方向为海底地形地貌探测。
基金资助:
国家自然科学基金（41830540；41476049；41606057）；卫星海洋环境动力学国家重点实验室自主项目（SOEDZZ1802）；科技部科技基础性工作专项（2013FY112900）；浙江省公益性项目（2016C31120）

The MF method for multi-source bathymetric data fusion and ocean bathymetric model construction

LIU Yang^1,2,3, WU Ziyin^1,2,3, ZHAO Dineng^1,2, ZHOU Jieqiong^1,2, SHANG Jihong^1,2, WANG Mingwei^1,2, ZHU Chao^1,2, LU Haohao^1,2

1. Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China;
2. Key Laboratory of Submarine Geosciences, State Oceanic Administration, Hangzhou 310012, China;
3. Institute of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China

Received:2018-10-30 Revised:2019-03-03 Online:2019-09-20 Published:2019-09-25
Supported by:
The National Natural Science Foundation of China (Nos. 41830540;41476049;41606057);The Project of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography (No. SOEDZZ1802);The Fundamental Project of Science and Technology, Ministry of Science and Technology of People's Republic of China (No. 2013FY112900);The Public Projects of Zhejiang Province (No. 2016C31120)

摘要/Abstract

摘要： 针对全球深海测深数据来源复杂、精度差异大、难以融合构建高精度数字水深模型（digital bathymetric model，DBM）的问题，提出一种适用于深水区多源水深数据融合的MF法（merge-fusion），并将其应用到马里亚纳海沟"挑战者深渊"的DBM构建中。该方法通过"合并-融合"的技术路线，将多波束、单波束、电子海图数据与通用全球海洋地形数据（general bathymetric chart of the oceans，GEBCO）有机地融合在一起，在保留高分辨率地形细节特征的同时，合理填补了数据空白区。使用该方法构建"挑战者深渊"高精度DBM并与GEBCO数据进行对比，结果表明，该方法融合的DBM能更好地反映精细的地形特征信息，具有重要的实际应用价值。

关键词: 多源水深数据, 数据融合, 数字水深模型, 通用全球海洋地形数据, 挑战者深渊

Abstract: In view of complex sources and various resolutions of global deep ocean bathymetric data being difficult in fusion to construct high-resolution digital bathymetric model (DBM), we present a MF method (merge-fusion) that is suitable for multi-source bathymetric data fusion in deep waters. Then we apply it to the DBM construction of the "Challenger Deep" in the Mariana Trench. By the workflow of "Merge-Fusion", the method combines electronic charts, multi-beam, single-beam bathymetric data with general bathymetric chart of the oceans (GEBCO) data. It can fill the blank area of data while preserving details in high-resolution bathymetric data. Finally, the constructed high-resolution DBM of the "Challenger Deep" is compared with GEBCO data. The results show that the DBM obtained by this method can better maintain the topographic details. This method possesses important practical application value.

Key words: multi-source bathymetric data, data fusion, DBM, GEBCO, Challenger Deep

中图分类号:

P229

刘洋, 吴自银, 赵荻能, 周洁琼, 尚继宏, 王明伟, 朱超, 鲁号号. MF多源测深数据融合方法及大洋水深模型构建[J]. 测绘学报, 2019, 48(9): 1171-1181.

LIU Yang, WU Ziyin, ZHAO Dineng, ZHOU Jieqiong, SHANG Jihong, WANG Mingwei, ZHU Chao, LU Haohao. The MF method for multi-source bathymetric data fusion and ocean bathymetric model construction[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(9): 1171-1181.

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MF多源测深数据融合方法及大洋水深模型构建

The MF method for multi-source bathymetric data fusion and ocean bathymetric model construction

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