Share Email Print
cover

Proceedings Paper

Technology for organization of the onboard system for processing and storage of ERS data for ultrasmall spacecraft
Author(s): Valery V. Strotov; Alexander I. Taganov; Yuriy V. Konkin; Aleksandr N. Kolesenkov
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 5 October 2017
PDF: 8 pages
Proc. SPIE 10430, High-Performance Computing in Geoscience and Remote Sensing VII, 104300B (5 October 2017); doi: 10.1117/12.2278188
Show Author Affiliations
Valery V. Strotov, Ryazan State Radio Engineering Univ. (Russian Federation)
Alexander I. Taganov, Ryazan State Radio Engineering Univ. (Russian Federation)
Yuriy V. Konkin, Ryazan State Radio Engineering Univ. (Russian Federation)
Aleksandr N. Kolesenkov, Ryazan State Radio Engineering Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 10430:
High-Performance Computing in Geoscience and Remote Sensing VII
Bormin Huang; Sebastián López; Zhensen Wu, Editor(s)

© SPIE. Terms of Use
Back to Top