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学术报告(1月29日):异构数据的地理最优传输

发布者:李鸣轩发布时间:2021-01-28浏览次数:10

学术报告

报告题目:Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media

报 告 人:李军IM体育官网_首页-【welcome】,教授、博导

报告时间:2021129日(周五)下午15:00

报告形式:腾讯会议

会 议 ID781403998(密码:123456

主办单位:地下空间智能控制教育部工程研究中心

信息与控制工程学院

报告摘要:

The fusion of heterogeneous remote sensing and social media data can fill the gaps in satellite image collections and improve the spatio-temporal resolution of the available datasets. As a result, it is being gradually adopted in multi-modal data analytics. Generally, the fusion of heterogeneous geographic data faces the following issues: 1) the probability density functions may differ from different data sources, and 2) the geo-locations may not be well aligned. The former one can be generally solved by performing an alignment of representations in the source and target domains using, for instance, domain adaptation. The latter issue is seldom considered in the fusion of heterogeneous geographic data. In this paper, we present a new method called geographic optimal transport (GOT) which aims at aligning representations and geolocations in simultaneous fashion. Experimental results demonstrate that the proposed GOT can accurately align spatially biased geo-referenced tweets to the flood phenomena, leading to the conclusion that GOT can effectively fuse heterogeneous remote sensing and social media data.

报告人简介:

李军IM体育官网_首页-【welcome】,中山大学教授,博士生导师IM体育官网_首页-【welcome】IM体育官网_首页-【welcome】,IEEE FellowIM体育官网_首页-【welcome】,主要研究方向为高光谱遥感图像处理分析和应用IM体育官网_首页-【welcome】,在地球科学与遥感领域期刊和会议上发表论文100多篇,Google学术引用7800多次,主要成果发表在PIEEEIM体育官网_首页-【welcome】IM体育官网_首页-【welcome】、RSEIM体育官网_首页-【welcome】IM体育官网_首页-【welcome】、IEEE TGRS等刊物上IM体育官网_首页-【welcome】。现任遥感领域重要期刊IEEE JSTARS主编IM体育官网_首页-【welcome】。


版权所有:中国矿业大学信息与控制工程学院  地址:江苏省徐州市大学路1号中国矿业大学南湖校区信息与控制工程学院

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