科研成果
博士生张秀红的论文在ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 刊出
发布时间:2018-04-08 09:14:59     发布者:yz     浏览次数:

标题: A Space-Time Periodic Task Model for Recommendation of Remote Sensing Images

作者: Zhang, XH (Zhang, Xiuhong); Chen, D (Chen, Di); Liu, JP (Liu, Jiping)

来源出版物:ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷:7 期:2 文献编号:40  DOI10.3390/ijgi7020040      出版年: FEB 2018

摘要:With the rapid development of remote sensing technology, the quantity and variety of remote sensing images are growing so quickly that proactive and personalized access to data has become an inevitable trend. One of the active approaches is remote sensing image recommendation, which can offer related image products to users according to their preference. Although multiple studies on remote sensing retrieval and recommendation have been performed, most of these studies model the user profiles only from the perspective of spatial area or image features. In this paper, we propose a spatiotemporal recommendation method for remote sensing data based on the probabilistic latent topic model, which is named the Space-Time Periodic Task model (STPT). User retrieval behaviors of remote sensing images are represented as mixtures of latent tasks, which act as links between users and images. Each task is associated with the joint probability distribution of space, time and image characteristics. Meanwhile, the von Mises distribution is introduced to fit the distribution of tasks over time. Then, we adopt Gibbs sampling to learn the random variables and parameters and present the inference algorithm for our model. Experiments show that the proposed STPT model can improve the capability and efficiency of remote sensing image data services.

入藏号:WOS:000427524600003

文献类型:Article

语种:English

作者关键词:remote sensing images; recommendation; topic model; user preference

扩展关键词:  RETRIEVAL; INFORMATION

通讯作者地址: Liu, JP (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.

Liu, JP (reprint author), Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China.

电子邮件地址:2008202050068@whu.edu.cn; jiuyao.cd@alibaba-inc.com; liujp@casm.ac.cn

地址:                    

[Zhang, Xiuhong; Liu, Jiping] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China. 
[Zhang, Xiuhong; Liu, Jiping] Chinese Acad Surveying & Mapping, Beijing 100830, Peoples R China. 
[Chen, Di] Alibaba Grp, Hangzhou 311121, Zhejiang, Peoples R China.

 

影响因子:1.502


信息服务
学院网站教师登录 学院办公电话 学校信息门户登录

版权所有 © 武汉大学资源与环境科学学院
地址:湖北省武汉市珞喻路129号 邮编:430079 
电话:027-68778381,68778284,68778296 传真:027-68778893     技术支持:尚网互联