Distributed application framework for Earth Science data processing

被引：0

作者：

Votava, P ^{[1
]}

Nemani, R ^{[1
]}

Bowker, C ^{[1
]}

Michaelis, A ^{[1
]}

Neuschwander, A ^{[1
]}

Coughlan, J ^{[1
]}

机构：

[1] Univ Montana, Numer Terradynam Simulat Grp, Missoula, MT 59812 USA

来源：

IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the characteristics of Earth Science data is their diversity, which results in a large number of similar algorithms tailored to a specific data set. Moreover, it is often difficult to connect several algorithms in a "pipeline" where output of one is the input of-the other. The solution we propose in this paper is a flexible and an extensible framework that enables us to decouple the data from the application and lay the foundation for integration of several algorithms into a single system.

引用

页码：717 / 719

页数：3

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