A Heterogeneous and Interactive Big Earth Data Framework

被引：1

作者：

Bi, Haixia ^{[1
]}

Xue, Yong ^{[1
]}

Merritt, Patrick ^{[1
]}

Windmill, Chris ^{[1
]}

Davis, Bradley ^{[1
]}

机构：

[1] Univ Derby, Derby DE22 1GB, England

来源：

BDE 2019: 2019 INTERNATIONAL CONFERENCE ON BIG DATA ENGINEERING | 2019年

关键词：

Big Earth data; heterogeneous data storage; interactive data visualization; workflow; machine learning;

D O I：

10.1145/3341620.3341628

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The dramatic development of Earth observation techniques leads to an explosion of Earth data. However, the increase of the Earth data size and their heterogeneity bring significant challenges to the storage, processing and visualization of the big Earth data. To address the problems caused by the huge Earth data-sets, a heterogeneous and interactive big Earth data framework is proposed in this paper, integrating raster-vector data cloud storage, data processing based on workflow and machine learning techniques and real-time rendering and interactive visualization. The framework provides a theoretical reference for future implementations of the system.

引用

页码：79 / 85

页数：7

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