| 数字海图线性特征的识别、量测与综合 |
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| 引用本文： | 翟京生,陆毅.数字海图线性特征的识别、量测与综合[J].测绘学报,2000,29(3):273-279. |
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| 作者姓名： | 翟京生 陆毅 |
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| 作者单位： | 1. 天津海洋测绘研究所,天津,300061
2. 海军大连舰艇学院,辽宁,大连,116018 |
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| 摘 要： | 图形特征的变化是无究的，只是依据与位移、夸大、化简等相似的综合方法，而不包含图形特征的识别与量测，数字海图的自动综合是无法实现的。只有识别、量测和综合方法的组合，才是数字海图综合概念的全部体现。因而，本文模拟人的综合方法的同时， 点模拟了人的图形特征的识别方式，同时，经过Ｄｏｕｇｌａｓ二叉树方法的引入，给出了图形特征的识别与量测函数，实现了数字海图红性特征的自动综合。
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| 关 键 词： | 识别 量测 综合 线性特征 数字海图 海洋测量 |
Recognition, Measurement and Generalization for Line Features in Digital Nautical Chart |
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| ZHAI Jing-sheng,LU Yi.Recognition, Measurement and Generalization for Line Features in Digital Nautical Chart[J].Acta Geodaetica et Cartographica Sinica,2000,29(3):273-279. |
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| Authors: | ZHAI Jing-sheng LU Yi |
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| Institution: | ZHAI Jing sheng 1,LU Yi 2 |
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| Abstract: | Generalization is a comprehensive process. It is not simply a question of algorithm such as simplification, selection, displacement, etc. In addition, some of algorithms may fail to maintain consistent topological relations among features. Only after geometric shapes and topological properties have been understood fully, a sound and automated generalization process could be completed. This paper proposed a new theoretical model for generalization of all the line features in digital nautical chart. First, a binary tree structure, based on Douglas Peucker algorithm, is introduced for a hierarchical represent of line feature. Then, an analytical algorithm for the recognition of geometric shape and the measurement of the curvature of line features is developed by using the binary tree structure. An intelligent approach, used to identify and remove topological conflicts with line feature itself and all of its neighboring features, is given in this paper. Finally, all of the techniques mentioned above are integrated into a generalization model for all the line features, of which results are illustrated with the aid of several examples. |
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| Keywords: | recognition measurement generalization line feature digital nautical chart |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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