pipsCloud: High performance cloud computing for remote sensing big data management and processing

Research paper by Lizhe Wang, Yan Ma, Jining Yan, Victor Chang, Albert Y. Zomaya

Indexed on: 07 Oct '16Published on: 23 Aug '16Published in: Future Generation Computer Systems


With the increasing requirement of accurate and up-to-date resource & environmental information for regional and global monitoring, large-region covered multi-temporal, multi-spectral massive remote sensing (RS) datasets are exploited for processing. The remote sensing data processing generally follows a complex multi-stage processing chain, which consists of several independent processing steps subject to types of RS applications. In general the RS data processing for regional environmental and disaster monitoring are recognized as typical both compute-intensive and data-intensive applications.

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