Road entity fusion method based on multiple similarity features

doi:10.13474/j.cnki.11-2246.2021.0250

Abstract

Abstract: With the acceleration of the pace of urban construction and the expansion of the application field of basic geographic information, the national economic construction and people’s life have an increasing demand for basic geographic information, which also puts forward higher requirements for the current situation and update frequency of basic geographic information. Therefore, it is of great significance to study the geographic information data fusion technology with different accuracy and different sources. Road entity is an important basic geographic information, especially railway, expressway, national and provincial road, urban trunk road. This paper focuses on the road entity, studies the differences between data, establishes automatic matching evaluation index, and builds homonymous matching, change detection and incremental updating model based on FME platform, realizes the automatic updating and fusion of road entity, and shortens the updating cycle of road entity Period. The second round of the 13th five year plan basic surveying and mapping update project uses this technology to complete the integration of important road entities. Through analysis and verification, it proves the feasibility and accuracy of the technology, and provides technical support for the construction of new basic surveying and mapping system.

Key words: road entity, homonym matching, change detection, incremental update, basic geographic information

CLC Number:

P208

ZHOU Xiuhua, LI Naiqiang. Road entity fusion method based on multiple similarity features[J]. Bulletin of Surveying and Mapping, 2021, 0(8): 102-105,157.

References

[1] 张继贤, 顾海燕.关于新型测绘的探索[J]. 测绘科学, 2016, 41(2):3-10.
[2] 李成名, 印洁, 刘晓丽, 等. "实体中国"与新型基础测绘的思考[J]. 测绘科学, 2019, 44(6):230-234.
[3] 任俊儒.FME在GIS数据处理中的应用[J]. 测绘与空间地理信息, 2018, 41(11):129-130.
[4] 毛硕. 基于FME的CAD与GIS数据共享研究[D]. 阜新:辽宁工程技术大学, 2013.
[5] 唐辉, 韩维喆, 蒲德祥, 等. FME在大比例尺基础测绘数据建库中的应用[J]. 地理空间信息, 2020, 18(11):91-93.
[6] 黄永芳.FME在地形地籍测绘中的运用分析[J]. 城市地理, 2016(16):81-82.
[7] 安晓亚, 刘平芝, 杨云, 等. 一种线状要素几何相似性度量方法及其应用[J]. 武汉大学学报(信息科学版), 2015, 40(9):1225-1229.
[8] 黄博华, 武芳, 许俊奎, 等. 一种面向同名线要素的距离度量方法[J]. 武汉大学学报(信息科学版), 2017, 42(3):395-401.
[9] 曹闻, 刘浩, 李润生.一种改进的Hausdorff距离地图匹配方法[J]. 计算机工程与应用, 2013, 49(6):159-162.
[10] 郑少波, 周国祥, 张本宏, 等. 基于离散Fréchet距离的地图匹配方法[J]. 合肥工业大学学报(自然科学版), 2017, 40(1):42-46.
[11] 滕志军, 李昊天, 张宇, 等. 动态距离权重因子的隐马尔可夫模型地图匹配算法[J]. 河南科技大学学报(自然科学版), 2020, 41(4):40-45.
[12] 张彦会, 曹强荣, 何维.角度和距离分段占优地图匹配算法[J]. 河南科技大学学报(自然科学版), 2014, 35(2):24-28.
[13] 程绵绵, 孙群, 季晓林, 等. 改进平均Fréchet距离法及在化简评价中的应用[J]. 测绘科学, 2020, 45(3):170-177.
[14] 曾传俊, 李莲芳, 褚睿涛.基于FME的DWG图形转换[J]. 测绘通报, 2019(S2):275-277.
[15] 徐昌荣, 沈晶, 施魁元.基于FME的GIS互操作探讨[J]. 江西理工大学学报, 2006, 27(3):1-3.
[16] 王晓烨, 陈立桢, 王新来, 等. 用FME实现DWG数据到SHP数据的转换[J]. 科技信息, 2011(16):753-754.
[17] 陈琦, 黄伟涛.基于FME的城市更新基础数据自动化入库[J]. 地理空间信息, 2019, 17(7):57-59.
[18] 李润生, 曹闻.基于距离角度拟合的地图匹配算法[J]. 测绘科学, 2012, 37(4):132-134.
[19] 李欢.一种基于FME的数字地形图数学精度检测方法[J]. 陕西煤炭, 2021, 40(2):163-167.