Abstract
Abstract. Earth Observation (EO) remote sensing missions are producing an increasing volume of data due to higher spatial and spectral resolutions, and higher frequency of acquisitions. Thus, in order to prepare the future of image processing pipelines, CNES has carried out Research & Development studies related to the use of Big Data and Cloud technologies for image processing chains made. Since mid-2019, CNES in partnership with Airbus Defense & Space, has started a new High Resolution Optical EO mission dedicated to very high resolution 3D observation called CO3D (“Constellation Optique 3D”). To achieve those objectives, a new image processing pipeline prototype is being developed taking in consideration the lessons learned from the previous studies. The paper will introduce this new image processing pipeline, the processing paradigms used to take advantage of big data technologies and the results of production benchmarks at a large scale. The on-going works to optimize the processing pipeline and Cloud cluster will be also discussed.
Document type: Article
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The different versions of the original document can be found in:
- https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2020/143/2020/isprs-archives-XLIII-B2-2020-143-2020.pdf under the license https://creativecommons.org/licenses/by
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Published on 01/01/2020
Volume 2020, 2020
DOI: 10.5194/isprs-archives-xliii-b2-2020-143-2020
Licence: Other
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