On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes

On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes

Remotely-sensed satellite image fusion is indispensable for the generation of long-term gap-free Earth observation data. While cloud computing (CC) provides the big picture for RS big data (RSBD), the fundamental question of the efficient fusion of RSBD on CC platforms has not yet been settled. To t...

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Bibliographic Details
Main Authors: Wei Huang, Jianzhong Zhou, Dongying Zhang
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
fusion algorithm
parallel computing
big data
Kubernetes
cloud computing
Online Access:https://www.mdpi.com/1424-8220/21/9/2971

Internet

https://www.mdpi.com/1424-8220/21/9/2971

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