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滑坡灾情数据多层级语义检索方法

朱庆 李茂粟 丁雨淋 冯斌 张骏骁 曹振宇 仇林遥 殷浩

朱庆, 李茂粟, 丁雨淋, 冯斌, 张骏骁, 曹振宇, 仇林遥, 殷浩. 滑坡灾情数据多层级语义检索方法[J]. 西南交通大学学报, 2020, 55(3): 467-475. doi: 10.3969/j.issn.0258-2724.20180695
引用本文: 朱庆, 李茂粟, 丁雨淋, 冯斌, 张骏骁, 曹振宇, 仇林遥, 殷浩. 滑坡灾情数据多层级语义检索方法[J]. 西南交通大学学报, 2020, 55(3): 467-475. doi: 10.3969/j.issn.0258-2724.20180695
ZHU Qing, LI Maosu, DING Yulin, FENG Bin, ZHANG Junxiao, CAO Zhenyu, QIU Linyao, YIN Hao. Multi-level Semantic Retrieval Method for Landslide Disaster Data[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 467-475. doi: 10.3969/j.issn.0258-2724.20180695
Citation: ZHU Qing, LI Maosu, DING Yulin, FENG Bin, ZHANG Junxiao, CAO Zhenyu, QIU Linyao, YIN Hao. Multi-level Semantic Retrieval Method for Landslide Disaster Data[J]. Journal of Southwest Jiaotong University, 2020, 55(3): 467-475. doi: 10.3969/j.issn.0258-2724.20180695

滑坡灾情数据多层级语义检索方法

doi: 10.3969/j.issn.0258-2724.20180695
基金项目: 国家自然科学基金(41501421);国家基础测绘科技项目(2018KJ0300,2018KJ0303);四川省科技计划项目(18ZDYF2292)
详细信息
    作者简介:

    朱庆(1966—),男,教授,博士,博士生导师,研究方向为摄影测量、地理信息系统、虚拟地理环境,E-mail:zhuq66@263.net

  • 中图分类号: V221.3

Multi-level Semantic Retrieval Method for Landslide Disaster Data

  • 摘要: 如何在海量多源多模态的滑坡灾害时空大数据中快速精准地发现满足灾情评估任务需求的优势信息,是综合减灾救灾的关键. 传统灾害数据检索多以“人工经验+关键字”的被动检索方式为主,难以兼顾任务的精确性与时效性,为此,提出了一种面向评估任务的滑坡灾情数据多层级语义检索方法. 通过建立滑坡灾情评估任务对数据特征需求的显式语义描述及任务需求与数据特征之间的高级语义映射,并据此设计多层级语义匹配的数据检索算法,面向灾情评估任务实现优势数据汇聚. 以四川茂县滑坡灾害评估为例进行实验分析,本文检索方法查询效率具有明显优势,900 km2、90 d范围内的灾情数据精准检索效率达到秒级,且推荐优势数据集的准确性高,60 d时间差距阈值下推荐结果平均贴近度达到90%以上. 结果表明本方法可根据任务需求准确可靠地快速自动获取灾害数据,从而显著提高减灾应急响应能力.

     

  • 图 1  面向滑坡灾情评估任务的数据多级需求语义映射

    Figure 1.  Multi-level requirement semantic mapping of data for landslide disaster assessment tasks

    图 2  时空索引框架

    Figure 2.  Spatio-temporal index frame

    图 3  基于内存直接管理的数据细化筛选流程

    Figure 3.  Data refinement and filtering process based on direct memory management

    图 4  数据多维特征聚类

    Figure 4.  Multidimensional feature clustering of data

    图 5  原型系统数据推荐结果

    Figure 5.  Recommended results of prototype system data

    图 6  效率与准确性分析

    Figure 6.  Efficiency and accuracy analysis

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出版历程
  • 收稿日期:  2018-08-21
  • 修回日期:  2019-01-08
  • 网络出版日期:  2020-01-19
  • 刊出日期:  2020-06-01

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