Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures

The large data volume and high algorithm complexity of hyperspectral image (HSI) problems have posed big challenges for efficient classification of massive HSI data repositories. Recently, cloud computing architectures have become more relevant to address the big computational challenges introduced...

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Bibliographic Details
Published in:	IEEE transactions on cybernetics Vol. 51; no. 7; pp. 3588 - 3601
Main Authors:	Wu, Zebin, Sun, Jin, Zhang, Yi, Zhu, Yaoqin, Li, Jun, Plaza, Antonio, Benediktsson, Jon Atli, Wei, Zhihui
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Classification Cloud computing distributed and parallel processing divisible task scheduling Heuristic methods hyperspectral image (HSI) classification Hyperspectral imaging Image classification Optimization Parallel processing partitioning factor Processor scheduling Scheduling Sparks Task analysis Task scheduling
ISSN:	2168-2267, 2168-2275, 2168-2275
Online Access:	Get full text
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