Acta Geodaetica et Cartographica Sinica >

2015 , Vol. 44 >Issue 11: 1285 - 1294

DOI: https://doi.org/10.11947/j.AGCS.2015.20140413

A User Profile-driven Intelligent Service of Remote Sensing Information

  • YANG Xiaoxia ,
  • XU Ting ,
  • LI Shaoda ,
  • YANG Ronghao ,
  • DING Yulin ,
  • CAO Zhenyu
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  • 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 date: 2014-08-05

  Revised date: 2015-08-10

  Online 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)

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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

Cite this article

YANG Xiaoxia , XU Ting , LI Shaoda , YANG Ronghao , DING Yulin , CAO Zhenyu . A User Profile-driven Intelligent Service of Remote Sensing Information[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(11) : 1285 -1294 . DOI: 10.11947/j.AGCS.2015.20140413

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