| 海量扫测数据特征点及边界提取方法研究 |
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| 引用本文： | 朱振华,陈建.海量扫测数据特征点及边界提取方法研究[J].现代测绘,2008,31(5). |
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| 作者姓名： | 朱振华 陈建 |
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| 作者单位： | 1. 河海大学土木工程学院,江苏,南京,210098
2. 苏北航务管理处,江苏,淮安,223002 |
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| 摘 要： | 针对“水声呐”水下扫测设备测量所得的数据量大，精度高，分布规则，但同时数据的冗余度大的特点，为了真实反映水下地形，利用四叉树的数据分块思想对海量数据进行预处理，再对处理后的分块数据采用绝对高程差，高程加权平均等算法判断不同分块窗口的地形的起伏状态，然后用Jenson＆Domingue等算法提取特征点，同时把图像处理边缘提取方法——梯度算子应用到河道扫测边界提取中。
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| 关 键 词： | 数据分块 Jenson＆Domingue算法 梯度算子 特征点 扫测边界 |
The Research of Extracting Feature Points and Boundary from Massive Data |
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| Zhu Zhenhua,Chen Jian.The Research of Extracting Feature Points and Boundary from Massive Data[J].Modern Surveying and Mapping,2008,31(5). |
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| Authors: | Zhu Zhenhua Chen Jian |
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| Institution: | Zhu Zhenhua1,Chen Jian2(1 College of Civil Engineering,Hohai University,Nanjing,210098,2 North Jiangsu Navigation Administration Office,Huaian,223002) |
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| Abstract: | The results captured by AquaticSonar have these characters: large volume of data,high precision and regular distribution.However,the data has much redundancy.In order to express the under-water terrain,quadtree and data segmentation algorithm are adopted to preprocess the massive data.Then based on the segmented data,Absolute value of height difference,weighted average method and Jenson & Domingue algorithm are used to estimate status of topographic relief of various regions and extract feature points,the s... |
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| Keywords: | Data segmentation Jenson & Domingue algorithm Gradient operator Feature points Survey boundary |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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