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5. Approaches for Massive Spatial Data and Applications in Remote Sensing

Approaches for Massive Spatial Data and Applications in Remote Sensing

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：jchangmafco

【摘 要】

：

With the development of new remote sensing technology,large or even massive spatial datasets from Earth observation become available.Statistical analysis of such data is challenging.We proposes a semi

【作 者】

：

Emily L.Kang Pulong Ma 

【机 构】

：

Department of Mathematical Sciences,University of Cincinnati,Cincinnati,Ohio,45221,USA.

【出 处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Basis function Gaussian Markov random field Remote sensing Semiparametric method 

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　　With the development of new remote sensing technology,large or even massive spatial datasets from Earth observation become available.Statistical analysis of such data is challenging.We proposes a semiparametric approach to modeling and inference for massive spatial datasets.

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