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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Vydané v:	IEEE transactions on cybernetics Ročník 51; číslo 7; s. 3588 - 3601
Hlavní autori:	Wu, Zebin, Sun, Jin, Zhang, Yi, Zhu, Yaoqin, Li, Jun, Plaza, Antonio, Benediktsson, Jon Atli, Wei, Zhihui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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