测绘学报 ›› 2015, Vol. 44 ›› Issue (11): 1285-1294.doi: 10.11947/j.AGCS.2015.20140413

• 地图学与地理信息 • 上一篇    下一篇

用户模型驱动的遥感信息智能服务方法

杨晓霞1,2,3, 徐婷1, 李少达1,3, 杨容浩1,3, 丁雨淋4,5, 曹振宇2   

  1. 1. 成都理工大学地球科学学院, 四川 成都 610059;
    2. 四川省应急测绘与防灾减灾工程技术研究中心, 四川 成都 610041;
    3. 成都理工大学地学空间信息技术国土资源部重点实验室, 四川 成都 610059;
    4. 高速铁路运营安全空间信息技术国家地方联合工程实验室, 四川 成都 611756;
    5. 西南交通大学地球科学与环境工程学院, 四川 成都 611756
  • 收稿日期:2014-08-05 修回日期:2015-08-10 出版日期:2015-11-20 发布日期:2015-11-25
  • 通讯作者: 丁雨淋,E-mail:rainforests@126.com E-mail:rainforests@126.com
  • 作者简介:杨晓霞(1977-),女,博士,讲师,研究方向为地理信息服务和虚拟地理环境。E-mail:yangxx2003@126.com
  • 基金资助:
    国家自然科学基金(41201440;41471332;41101354);教育部博士点基金(20125122120014);2014年度国家测绘地理信息局基础测绘科技项目;四川省应急测绘与防灾减灾工程技术研究中心开放基金(K2015B002);国家级大学生创新训练项目(201410616037);四川省教育厅理科重点项目(15ZA0078)

A User Profile-driven Intelligent Service of Remote Sensing Information

YANG Xiaoxia1,2,3, XU Ting1, LI Shaoda1,3, YANG Ronghao1,3, DING Yulin4,5, CAO Zhenyu2   

  1. 1. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;
    2. Sichuan Engineering Research Center for Emergency Mapping & Disaster Reduction, Chengdu 610041, China;
    3. Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources of the P. R. China, Chengdu 610059, China;
    4. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China;
    5. Faculty of Geosciences and Enviromental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaAbstract
  • Received:2014-08-05 Revised:2015-08-10 Online:2015-11-20 Published:2015-11-25
  • Supported by:
    The National Natural Science Foundation of China(Nos. 412014404147133241101354) Ph.D. Programs Foundation of Ministry of Education of China(No. 20125122120014) Basic Surveying and Mapping Science and Technology Program of National Administration of Surveying, Mapping and Geoinformation Open Research Fund by Sichuan Engineering Research Center for Emergency Mapping & Disaster Reduction(No. K2015B002) National Undergraduate Training Programs for Innovation(No. 201410616037) Foundation of Sichuan Educational Committee(No.15ZA0078)

摘要: 传统的浏览下载的遥感信息服务模式存在被动性、同一性等缺点,如何主动、准确地满足用户的个性化需求已成为遥感信息服务的焦点问题。本文针对遥感信息在空间和波谱上的覆盖特性,引入区间数学的方法建立了用户模型,描述用户兴趣在遥感信息核心元数据上的分布特征。提出关联度和兴趣度概念用来评价遥感信息对用户兴趣的满足程度,设计了基于拓扑关系的关联函数定量计算关联度。通过将待分发遥感信息作为备选方案构建了决策矩阵,从而将遥感信息的智能服务问题转化为多属性决策问题,实现了面向用户兴趣的遥感信息主动推荐。

关键词: 智能服务, 用户模型, 关联函数, 推荐系统

Abstract: To overcome limits of traditional passive remote sensing data distribution methods, personalization is an inevitable trend of spatial information service. User profile is the basic foundation for personalized, active and accurate spatial information dissemination service, which can be used in the definition of users' preferences or interests of remote sensing data. In view of the coverage characteristics of remote sensing data in spatial and spectrum, this paper adopted the interval mathematics method into the representation of user profiles. Based on user profiles, the concepts of the correlation degree and interest degree are introduced. In addition, by the construction of decision matrixes, the solutions of the generations of intelligent services can be converted into the solutions of multiple attribute decision problems. Finally, an instance is given to show the usability of the presented method.

Key words: intelligent service, user profile, correlation function, recommending systems

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