测绘学报 ›› 2016, Vol. 45 ›› Issue (4): 466-474.doi: 10.11947/j.AGCS.2016.20150302

• 地图学与地理信息 • 上一篇    下一篇

叠置运算支持下的跨比例尺城区居民地数据变化发现与更新

杨敏1, 艾廷华1, 晏雄锋1, 杨伟1, 周校东2, 周启3   

  1. 1. 武汉大学资源与环境科学学院, 湖北武汉 430079;
    2. 地理信息工程国家重点实验室, 陕西西安 710054;
    3. 四川省第二测绘地理信息工程院, 四川成都 610100
  • 收稿日期:2015-06-09 修回日期:2016-01-05 出版日期:2016-04-20 发布日期:2016-04-28
  • 作者简介:杨敏(1985-),男,博士,讲师,研究方向为地图综合、空间数据匹配集成及更新。
  • 基金资助:
    国家自然科学基金(41401447;41531180);地理信息工程国家重点实验室开放研究基金(SKLGIE2014-M-4-5);数字制图与国土信息应用工程国家测绘地理信息局重点实验室开放基金(DM2014SC12);四川测绘地理信息局2014年科技项目(J2014ZC15)

Change Detection and Updating by Using Map Overlay for Buildings on Multi-scale Maps

YANG Min1, AI Tinghua1, YAN Xiongfeng1, YANG Wei1, ZHOU Xiaodong2, ZHOU Qi3   

  1. 1. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China;
    2. State Key Laboratory of Geo-information Engineering, Xi'an 710054, China;
    3. The Second Surverying, Mapping and Geoinformation Engineering Institute of Sichuan Province, Chengdu 610100, ChinaAbstract
  • Received:2015-06-09 Revised:2016-01-05 Online:2016-04-20 Published:2016-04-28
  • Supported by:
    The National Natural Science Foundation of China(Nos.41401447;41531180);State Key Laboratory of Geo-information Engineering(No.SKLGIE2014-M-4-5);The Foundation of National Administration of Surveying, Mapping and Geo-informaiton Engineering Laboratory in Digital Cartography and Land Management(No.J72014ZC15);The Foundation of the Science and Technology Plan of Sichuan Bureau of Surveying, Mapping and Geoinformation(No.J2014ZC15)

摘要: 以城区居民地为例,提出了一种面向跨比例尺新旧地图数据变化发现与更新方法。首先,从产生效应、发生源头、依附上下文关系、更新策略4个方面剖析大比例尺新数据与小比例尺旧数据间的变化;在此基础上,引入叠置运算与数据增强方法构建变化信息提炼与融合模型,形成"叠置分析与变化发现→增量提取→增量融合更新"的技术框架;最后,通过试验数据验证表明了方法的有效性,以及可扩展性强、适于图层级批处理更新等优点。

关键词: 数据更新, 变化发现, 跨比例尺地图, 地图叠置, 数据增强

Abstract: This study aims to develop a method of change detection and updating for urban building features at smaller-scale maps from updated larger-scale maps. Firstly, an in-deeper and comprehensive analysis of changes between maps at different times and scales was discussed. Then, a technical framework of change extraction and updating was proposed based on the functions of map overlap and data enrichment. Finally, real-life data were used to verify the effectiveness of the proposed method, and results also showed that our method is flexible and suitable for layer-level updates.

Key words: data updating, change detection, multi-scale maps, map overlap, data enrichment

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