数字水深模型建模技术研究进展与展望

doi:10.11947/j.AGCS.2022.20220142

摘要/Abstract

摘要： 水深是反映海底地形起伏形态的基本要素,是人类认识和利用海洋并进行科学决策的重要依据。数字水深模型是用离散水深数据实现对海底地形起伏变化的一种数字化表达。数字水深模型建模技术与所构建模型的质量、特点及应用领域密切相关,直接决定了海底地形表达的真实可靠性和精度,并将对舰船航行的安全性及其他相关应用产生重要影响,一直是海道测量和海图制图人员科学研究与海洋测绘地理信息产品生产实践关注的核心内容。本文在总结数字水深模型概念内涵的基础上,结合国内外数字水深模型建模技术现状,重点阐述了数字水深模型在航海和非航海领域的研究进展及取得的成果,并对数字水深模型建模技术的未来发展方向做出了展望。

关键词: 海底地形表达, 数字水深模型, 建模技术, 航海应用, 非航海应用, 研究进展, 展望

Abstract: Depth is the basic element that reflects the undulating shape of the submarine topography, and it is an important reference for human beings to understand and utilize the ocean and make scientific decisions.Digital depth model is a digital representation of submarine topography fluctuations using discrete depth data. The digital depth model constructing technology is closely related to the quality, characteristics and application fields,which directly determines the reliability and accuracy of the representation of the submarine topography,and will have an important impact on the safety of ship navigation and other related applications,has always been the core content of the scientific research of hydrographic and cartographers as well as the production practice of marine surveying and mapping geographic information products.On the basis of summarizing the conceptual connotation of digital depth model, combined with the current status of digital depth model constructing technology at home and abroad, this paper focuses on the research progress and achievements of digital depth model in navigational and non-navigational fields, and the future development direction of digital depth model constructing technology is prospected.

Key words: submarine topographic representation, digital depth model, model constructing technology, navigational applications, non-navigational applications, research progress, prospect

中图分类号:

P227

彭认灿, 董箭, 贾帅东, 唐露露, 王芳. 数字水深模型建模技术研究进展与展望[J]. 测绘学报, 2022, 51(7): 1575-1587.

PENG Rencan, DONG Jian, JIA Shuaidong, TANG Lulu, WANG Fang. Research progress and prospect of digital depth model constructing technology[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1575-1587.

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