Research on remote sensing image storage management and a fast visualization system based on cloud computing technology-Reference-Cited by-同舟云学术

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Research on remote sensing image storage management and a fast visualization system based on cloud computing technology

Published:2024-01-02 Issue:21 Volume:83 Page:59861-59886
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Yang Lichun,He Weibing,Qiang Xiaoyong,Zheng Jinjun,Huang Fang

Funder

the Fundamental Research Funds for the Central Universities

National Science Foundation of China

Technological Innovation R&D Project of Chengdu Science and Technology Bureau

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17858-6.pdf

Reference28 articles.

1. Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 65(1):2–16

2. Deren LI, Liangpei Z, Guisong X (2014) Automatic analysis and mining of remote sensing big data. Acta Geodaetica Cartogr Sin 43(12):1211

3. Chi M, Plaza A, Benediktsson JA et al (2016) Big data for remote sensing: challenges and opportunities. Proc IEEE 104(11):2207–2219

4. Huang YQ (2019) The concept and development trend of spatial database management system. China Manage Informationization 22(08):165–166

5. Lü XF, Cheng C, Gong J et al (2011) Review of data storage and management technologies for massive remote sensing data. Sci China Technol Sci 54:3220–3232

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