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5 October 2017 Technology for organization of the onboard system for processing and storage of ERS data for ultrasmall spacecraft
Valery V. Strotov, Alexander I. Taganov, Yuriy V. Konkin, Aleksandr N. Kolesenkov
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Proceedings Volume 10430, High-Performance Computing in Geoscience and Remote Sensing VII; 104300B (2017) https://doi.org/10.1117/12.2278188
Event: SPIE Remote Sensing, 2017, Warsaw, Poland
Abstract
Task of processing and analysis of obtained Earth remote sensing data on ultra-small spacecraft board is actual taking into consideration significant expenditures of energy for data transfer and low productivity of computers. Thereby, there is an issue of effective and reliable storage of the general information flow obtained from onboard systems of information collection, including Earth remote sensing data, into a specialized data base. The paper has considered peculiarities of database management system operation with the multilevel memory structure. For storage of data in data base the format has been developed that describes a data base physical structure which contains required parameters for information loading. Such structure allows reducing a memory size occupied by data base because it is not necessary to store values of keys separately. The paper has shown architecture of the relational database management system oriented into embedment into the onboard ultra-small spacecraft software. Data base for storage of different information, including Earth remote sensing data, can be developed by means of such database management system for its following processing. Suggested database management system architecture has low requirements to power of the computer systems and memory resources on the ultra-small spacecraft board. Data integrity is ensured under input and change of the structured information.
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Valery V. Strotov, Alexander I. Taganov, Yuriy V. Konkin, and Aleksandr N. Kolesenkov "Technology for organization of the onboard system for processing and storage of ERS data for ultrasmall spacecraft", Proc. SPIE 10430, High-Performance Computing in Geoscience and Remote Sensing VII, 104300B (5 October 2017); https://doi.org/10.1117/12.2278188
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KEYWORDS
Data storage
Computing systems
Space operations
Computer architecture
Databases
Remote sensing
Software development
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