碎片化地形矢量数据比例尺评估方法

doi:10.11947/j.AGCS.2024.20240024

测绘学报 ›› 2024, Vol. 53 ›› Issue (6): 1013-1024.doi: 10.11947/j.AGCS.2024.20240024

碎片化地形矢量数据比例尺评估方法

刘万增¹^,²^,³(), 王新鹏²^,³(), 赵婷婷²^,³, 翟曦²^,³, 李然²^,³, 朱秀丽²^,³, 蒋志浩²^,³, 彭云璐²^,³, 张晔²^,³

^1.湖北珞珈实验室，湖北　武汉　430079
^2.国家基础地理信息中心，北京　100830
^3.时空信息与智能服务重点实验室，北京　100830

收稿日期:2024-01-15 发布日期:2024-07-22
通讯作者: 王新鹏 E-mail:luwnzg@163.com;wangxinpeng0512@163.com
作者简介:刘万增（1970—），男，博士，教授级高工，研究方向为GIS空间关系、应急制图及知识服务。　E-mail：luwnzg@163.com
基金资助:
湖北珞珈实验室开放基金(220100037);国家自然科学基金(42394062)

Scale evaluation method for fragmented terrain vector data

Wanzeng LIU¹^,²^,³(), Xinpeng WANG²^,³(), Tingting ZHAO²^,³, Xi ZHAI²^,³, Ran LI²^,³, Xiuli ZHU²^,³, Zhihao JIANG²^,³, Yunlu PENG²^,³, Ye ZHANG²^,³

^1.Hubei Luojia Laboratory, Wuhan 430079, China
^2.National Geomatics Center of China, Beijing 100830, China
^3.Key Laboratory of Spatio-temporal Information and Intelligent Services (LSIIS), MNR, Beijing 100830, China

Received:2024-01-15 Published:2024-07-22
Contact: Xinpeng WANG E-mail:luwnzg@163.com;wangxinpeng0512@163.com
About author:LIU Wanzeng (1970—), male, PhD, professor level senior engineer, majors in GIS spatial relationship, emergency mapping and knowledge service.　E-mail: luwnzg@163.com
Supported by:
The Open Fund of Hubei Luojia Laboratory(220100037);The National Natural Science Foundation of China(42394062)

摘要/Abstract

摘要：

针对目前人工判定碎片化地形矢量数据比例尺效率低下、可靠性不高的问题，本文提出一种基于自然法则的地形矢量数据比例尺评估方法，实现地形矢量数据比例尺判定的自动化。该方法基于不同比例尺地形矢量数据节点密度指数随比例尺变化的特征，利用自然法则原理和统计学知识确定不同比例尺、不同类型要素节点密度指数区间的理论值；对于待鉴定地形矢量数据，将其节点密度指数与已知比例尺的地形矢量数据节点密度指数区间进行比对，如果落在该比例尺节点密度指数区间内，则推断为该比例尺数据，进而实现比例尺的自动判定；最后利用等高线和水系两种地形要素验证了该评估方法的可行性。试验结果表明，基于本文方法的1∶100万、1∶25万和1∶5万地形矢量数据比例尺自动判定正确率分别达到了93.97%、94.04%和92.47%，地形矢量数据比例尺判定总体正确率达到93.21%，极大提高了比例尺判定的精度与效率，为地理信息安全评估提供了技术支撑。

关键词: 矢量数据, 自然法则, 节点密度指数, 比例尺评估

Abstract:

To address the issues of low efficiency and low reliability in manually determining the scale of terrain vector data, a terrain vector data scale evaluation method based on natural laws is proposed to achieve automation in terrain vector data scale determination in this paper. Based on the characteristics that the node density of terrain vector data at different scales changes with the scale, this method uses the principles of natural law and statistical knowledge to determine the theoretical values of node density intervals at different scales and different elements. For the terrain vector data to be identified, compare its node density with the node density interval of the known scale vector data. If it falls within the node density interval of the scale, it is inferred as the scale data, and then automatic scale determination is achieved. Finally, the feasibility of the evaluation method was verified using two elements: contour lines and water systems. The experimental results show that the accuracy of automatic scale determination of 1∶1 000 000, 1∶250 000 and 1∶50 000 terrain vector data based on the algorithm proposed in this paper reaches 93.97%, 94.04% and 92.47%, respectively, and the overall accuracy of scale determination of vector data reaches 93.21%, greatly improving the accuracy and efficiency of scale judgment, and providing technical support for geographic information security assurance.

Key words: vector data, natural principle, node density index, scale evaluation

中图分类号:

P208

刘万增, 王新鹏, 赵婷婷, 翟曦, 李然, 朱秀丽, 蒋志浩, 彭云璐, 张晔. 碎片化地形矢量数据比例尺评估方法[J]. 测绘学报, 2024, 53(6): 1013-1024.

Wanzeng LIU, Xinpeng WANG, Tingting ZHAO, Xi ZHAI, Ran LI, Xiuli ZHU, Zhihao JIANG, Yunlu PENG, Ye ZHANG. Scale evaluation method for fragmented terrain vector data[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(6): 1013-1024.

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比例尺		μ'	2μ'-
1∶5万	1	1.42	1.84
1∶25万	1.60	2.08	2.56
1∶100万	2.28	2.77	3.26

比例尺		μ'	2μ'-
1∶5万	1.18	1.58	1.98
1∶25万	1.78	2.28	2.78
1∶100万	2.45	2.92	3.39

要素类型	鉴定图幅数	正确图幅数	错误图幅数	正确率/（%）
水系	108	100	8	92.59
等高线	91	87	4	95.60

要素类型	鉴定图幅数	正确图幅数	错误图幅数	正确率/（%）
水系	740	687	53	92.84
等高线	787	749	38	95.17

要素类型	鉴定图幅数	正确图幅数	错误图幅数	正确率/（%）
水系	920	864	56	93.91
等高线	994	896	88	90.14

碎片化地形矢量数据比例尺评估方法

Scale evaluation method for fragmented terrain vector data

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参考文献 29

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要素比例尺	鉴定图幅数	正确图幅数	错误图幅数	正确率/（%）
1∶100万	199	187	12	93.97
1∶25万	1527	1436	91	94.04
1∶5万	1914	1770	144	92.47
整体	3640	3393	247	93.21

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比例尺	类别
比例尺	等高线	水系
1∶100万	（2.42,3.26]	（2.62,3.39]
1∶25万	[1.72,2.42]	[1.88,2.62]
1∶5万	[1,1.72）	[1.18,1.88）