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基于相似距离和等高线树的等高线聚类及其应用
引用本文:赵东保,盛业华. 基于相似距离和等高线树的等高线聚类及其应用[J]. 测绘科学, 2009, 34(2): 38-39,69. DOI: 10.3771/j.issn.1009-2307.2009.02.011
作者姓名:赵东保  盛业华
作者单位:南京师范大学虚拟地理环境教育部重点实验室,南京,210046;南京师范大学虚拟地理环境教育部重点实验室,南京,210046
基金项目:国家自然科学基金,教育部高等学校博士学科点专项科研基金 
摘    要:通过形状匹配技术以获取等高线之间的相似程度,通过构建等高线树以获得等高线之间的邻近程度,然后将邻近的且形态相似的等高线实施聚类,实验结果表明聚类结果正确可靠。在获得聚类结果的基础上,还对等高线图进行了地形特征提取和数据压缩。

关 键 词:等高线  聚类  相似距离

The method and its application for contours clustering based on similarity distance and contours'tree
ZHAO Dong-bao,SHENG Ye-hua. The method and its application for contours clustering based on similarity distance and contours'tree[J]. Science of Surveying and Mapping, 2009, 34(2): 38-39,69. DOI: 10.3771/j.issn.1009-2307.2009.02.011
Authors:ZHAO Dong-bao  SHENG Ye-hua
Abstract:The similarity distance between contours is derived by using shape matching technology, and adjoining relationshi Pamong contours is acquired by building contours’ tree, and then contours which are adjoining in location and similar in shape are clustered. Experiments indicate that the results of contour clusters are right and credible. After getting these results, terrain features are discovered and contour data are compressed based on these results.
Keywords:contour   cluster   similarity distance
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