A cloud-based solution and platform for remote sensing big data applications: challenges and opportunities

Hongyan Wang; Shaoyu Shi; Huijie Liu; Xingwang Ma

doi:10.1117/12.3007500

30 August 2023 A cloud-based solution and platform for remote sensing big data applications: challenges and opportunities

Hongyan Wang, Shaoyu Shi, Huijie Liu, Xingwang Ma

Author Affiliations +

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127972C (2023) https://doi.org/10.1117/12.3007500
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

Satellite remote sensing, as an important means of disseminating and perceiving spatio-temporal geographic information, is widely used in many fields. The accumulated satellite remote sensing data from various industries has gradually formed Remote Sensing Big Data, and its explosive growth has also brought challenges to various applications. It discusses the big data characteristics of Remote Sensing Big Data, and also the challenges posed by the lack of handling technologies in this paper. Meanwhile, it also discusses the opportunities and key technical issues from cloud computing technology to Remote Sensing Big Data handling, and provides a cloud RSBD solution and platform prototype.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongyan Wang, Shaoyu Shi, Huijie Liu, and Xingwang Ma "A cloud-based solution and platform for remote sensing big data applications: challenges and opportunities", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127972C (30 August 2023); https://doi.org/10.1117/12.3007500

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