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

Huang W, Zhou J, Zhang D

Open source

DOI: 10.3390/s21092971
Published: 2021 Apr 23
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s21092971,
  title = {On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes.},
  author = {Huang W and Zhou J and Zhang D},
  year = {2021},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s21092971},
  url = {https://doi.org/10.3390/s21092971}
}

RIS

TY  - JOUR
TI  - On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes.
AU  - Huang W
AU  - Zhou J
AU  - Zhang D
PY  - 2021
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s21092971
UR  - https://doi.org/10.3390/s21092971
ER  -

APA

W, H., J, Z., & D, Z. (2021). On-the-Fly Fusion of Remotely-Sensed Big Data Using an Elastic Computing Paradigm with a Containerized Spark Engine on Kubernetes.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21092971

Source records

pubmed · retrieved 2026-09-25T05:12:24.112Z
europe-pmc · retrieved 2026-09-25T05:12:24.146Z
doaj · retrieved 2026-09-25T05:12:24.103Z