Big Data Processing on Cloud Computing Architectures for Hyperspectral Remote Sensing

Authored by: Zebin Wu , Jin Sun , Yi Zhang

Hyperspectral Indices and Image Classifications for Agriculture and Vegetation

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138066038
eBook ISBN: 9781315159331
Adobe ISBN:

10.1201/9781315159331-4

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Abstract

Hyperspectral images comprise hundreds of contiguous spectral bands, thus imposing significant requirements in terms of storage and data processing. The availability of new hyperspectral missions producing large amounts of data on a daily basis has posed important challenges for scalable and efficient processing of big hyperspectral data in the context of different applications. Cloud computing technologies are in high demand for big hyperspectral remote sensing data processing due to its advanced capabilities for internet-scale, service-oriented, and high-performance computing. They offer the potential to tackle massive data processing workloads by means of distributed parallel architecture.

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