Multidimensional visualization analysis based on large-scale GNSS data
Abstract: With the deployment of global navigation systems such as GPS, GLONASS, GALILEO, and BeiDou, and the construction of the global observation network, global navigation satellite system (GNSS) data have greatly expanded. Traditional relational databases and file systems can no longer efficiently store and process GNSS data. In addition, multidimensional, in-depth visual analysis methods for such data are lacking. In this paper, we provide a solution and implement a GNSS data visualization system based on MapV and cesium running on the Hadoop platform, which can effectively solve the problems of the lack of storage and computing resources for these massive multisource heterogeneous data. The proposed system provides multidimensional presentations to show how the space and ground segments of the entire system are organized by analyzing GNSS data.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Multidimensional visualization analysis based on large-scale GNSS data ; volume:33 ; number:1 ; year:2024 ; extent:10
Open astronomy ; 33, Heft 1 (2024) (gesamt 10)
- Creator
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Wang, Jingyan
Wang, Ronghui
Bo, Zhenyong
Li, Hengnian
Wang, Chong
Fang, Yanan
- DOI
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10.1515/astro-2022-0037
- URN
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urn:nbn:de:101:1-2024032014490341099750
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
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Associated
- Wang, Jingyan
- Wang, Ronghui
- Bo, Zhenyong
- Li, Hengnian
- Wang, Chong
- Fang, Yanan
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