海底沙波特征线的最优方向剖面自动识别方法

周洁琼; 吴自银; 赵荻能; 尚继宏; 李守军; 梁裕杨; 周勐佳

海底沙波特征线的最优方向剖面自动识别方法

1.
国家海洋局第二海洋研究所, 浙江杭州 310012;国家海洋局海底科学重点实验室, 浙江杭州 310012
2.
浙江大学地球科学系, 浙江杭州 310028

基金项目: 国家自然科学基金(41476049, 41206046);国家海洋公益专项(201105001);科技基础性工作专项(2013FY112900);海洋专项(GZH201400208).

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出版历程
- 收稿日期: 2014-11-06
- 修回日期: 2015-01-14

Automatic recognition of sand wave topographic features based on optimally-directional profiling method

1.
The Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China;Key Laboratory of Submarine Geosciences, State Oceanic Administration, Hangzhou 310012, China
2.
Department of Earth Sciences, Zhejiang University, Hangzhou 310028, China

摘要

摘要: 海底沙波是发育在近海陆架上的一种常见海底地貌类型,海底沙波特征与运动规律的研究具有重要的科学意义与工程应用价值,沙波脊线与谷线是表征海底沙波的最基本特征,也是精确描述沙波运动的基本参量.本文提出了一种基于复合数字水深模型的沙波特征线自动识别方法——最优方向剖面法,基于水深曲面归算得到最优剖面方向,再依据最优剖面方向求导并判定极值,自动提取沙波形态特征点,最终形成沙波脊线和谷线.以台湾浅滩复合型沙波为例进行对比实验研究,结果表明,该方法能基于不同分辨率的数字水深模型自动准确地提取海底沙波脊线与谷线,勿需设置阈值,地形自动化识别程度得到进一步提升,具有重要的实际应用价值.
- 最优方向剖面法 /
- 数字水深模型 /
- 八邻域 /
- 沙波 /
- 脊线 /
- 谷线 /
- 自动识别
Abstract: Sand wave is a widely occurring submarine bedform which exists on the sea floor of shallow seas due to the complex interaction between waves,tides and sediments. Knowledge of sand wave characteristics and behavior has scientific import and engineering application value. Crest lines and trough lines are basic topographic characteristics of sand wave,and the basis to describe sand wave variation. In this paper,we present a new method of automatic recognition of sand wave topographic features based on composite digital depth model (DDM),called optimally-directional profiling method. We built an optimal direction map from DDM,and use the optimal direction to profile DDM and involve matrix calculus,by verifying extrema points to extract the topographic features. Taking composite sand waves in Taiwan Bank as an example,the comparison experiment result indicated that,the method is capable of extracting crest lines and trough lines of sand waves automatically and accurately based on multi-resolution DDM. With no requirement for setting any thresholds,the automatic degree of extracting topographic features is further increased. The method possessed important practical application value.
- optimally-directional profiling method /
- digital depth model (DDM) /
- eight neighborhood /
- sand wave /
- crest lines /
- trough lines /
- automatic recognition

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