|Table of Contents|

Research on Vector Spatial Data Change Detection MethodBased on Grid-Based Clustering and Spatial Overlay—An Example of the Application of National Geographic Conditions Monitoring(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2019年02期
Page:
136-
Research Field:
·地理学·
Publishing date:

Info

Title:
Research on Vector Spatial Data Change Detection MethodBased on Grid-Based Clustering and Spatial Overlay—An Example of the Application of National Geographic Conditions Monitoring
Author(s):
Zhu Xuehong1; Zhang Shuliang1; 2; Zhang Weipei1
(1.Key Laboratory of Virtual Geographic Environment of Ministry of Education,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
Keywords:
national geographic conditions monitoring; change detection; grid-based clustering; spatial overlay
PACS:
P208
DOI:
10.3969/j.issn.1001-4616.2019.02.022
Abstract:
Based on the analysis and reference of traditional change detection methods,this paper proposed a change detection model based on grid-based clustering and spatial overlay,realized a rapid change detection in the national geographic condition census data,expanded the theory and method of vector spatial data change detection,provided theoretical and methodological support for national geographic conditions monitoring.

References:

[1] RADEK R J,ANDRA S,AL-KOFAHI O,et al. Image change detection algorithms:a systematic survey[J]. IEEE transactions on image processing,2005,14(3):294.
[2]孙晓霞,张继贤,刘正军. 三峡库区土地利用时序变化遥感监测与分析[J]. 长江流域资源与环境,2008,17(4):557-560.
[3]杜培军,柳思聪. 融合多特征的遥感影像变化检测[J]. 遥感学报,2012,16(4):663-677.
[4]应申,李霖,刘万增,等. 版本数据库中基于目标匹配的变化信息提取与数据更新[J]. 武汉大学学报(信息科学版),2009,34(6):752-755.
[5]吴建华,傅仲良. 数据更新中要素变化检测与匹配方法[J]. 计算机应用,2008,28(6):1612-1615.
[6]童小华,邓愫愫,史文中. 基于概率的地图实体匹配方法[J]. 测绘学报,2007,36(2):210-217.
[7]柳怀颖. 基于概率及复合指标的矢量数据对比技术研究[D]. 武汉:中国地质大学,2011.
[8]王文杰. 矢量时空数据几何变化检测方法研究[D]. 兰州:兰州交通大学,2013.
[9]李宇光,李连营,李清泉,等. 基于栅格化思想的矢量电子地图几何变化检测[J]. 地理空间信息,2010,8(1):142-146.
[10]赵慧,宋星. 基于线性四叉树的快速邻域查询算法[J]. 计算机工程与设计,2007,28(18):4333-4335.
[11]徐文祥. 基于空间特征码的矢量要素变化检测研究[D]. 南京:南京师范大学,2011.
[12]沙玉坤. 基于三元组的矢量数据变化检测方法的研究[D]. 泰安:山东农业大学,2012.
[13]艾廷华,刘耀林. 土地利用数据综合中的聚合与融合[J]. 武汉大学学报(信息科学版),2002,27(5):486-492.

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Last Update: 2019-06-30