Call for Paper - August 2022 Edition
IJCA solicits original research papers for the August 2022 Edition. Last date of manuscript submission is July 20, 2022. Read More

Optimized Filtering and Compression System for an Earth Observation Satellite

Print
PDF
International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 10
Year of Publication: 2011
Authors:
Gutembert Nganpet Nzeugaing
Prof. Elmarie Biermann
10.5120/4527-6446

Gutembert Nganpet Nzeugaing and Prof. Elmarie Biermann. Article: Optimized Filtering and Compression System for an Earth Observation Satellite. International Journal of Computer Applications 36(10):32-36, December 2011. Full text available. BibTeX

@article{key:article,
	author = {Gutembert Nganpet Nzeugaing and Prof. Elmarie Biermann},
	title = {Article: Optimized Filtering and Compression System for an Earth Observation Satellite},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {10},
	pages = {32-36},
	month = {December},
	note = {Full text available}
}

Abstract

Most earth observation satellites in their daily image processing routine operate using the “store and forward” mechanism; this mode of operation is not efficient due to the huge amount of data that has to be stored on-board the satellite (but cannot due to memory constraints). The Cape Peninsula University of Technology (CPUT) 3U CubeSat named ZACUBE-02 will perform the filtering and compression processes of the images on-board. The focus of this research lies within the choice of the appropriate hardware that will be used to test the filtering and compression algorithm; the implementation of the hardware; the implementation of JPEG2000; and a detailed study on how to increase the compression ration without affecting the image quality as well as a suitable design and implementation. The chosen hardware will be used to implement the JPEG2000 using C programming language; the study on how to increase the compression ratio without affecting the image quality is proposed. By filtering and compressing images, the on-board storage memory constraints, the power constraints and the bandwidth constraints will be met resulting to the downlink transmission time being minimized. Filtering and compression of images find applications in photography, image/data storage and transmission where storage, bandwidth and power are restricted.

References

  • Thakker, P., and Shiroma, W. A. 2010. Emergence of Pico- and Nanosatellites for Atmospheric Research and Technology Testing. Virginia: American Institute of Aeronautics and Astronautics.
  • ESA. n.d. Planck. http://esamultimedia.esa.int/docs/planck/Planck-Factsheet.pdf [27 August 2011].
  • Martin, D. H., Anderson, P. R., and Bartamian, L. 2007. Communication Satellites. 5th ed. California: The Aerospace Press.
  • Puig-Suari, J. n.d. CubeSat Design Specification. 12th revision. http://www.cubesat.org/images/developers/cds_rev12.pdf [24 August 2011].
  • Chartier, C., Mackay, M., Ravalico, D., Russell, S., and Wallis, A. 2010. Design, Build and Launch of a Small Satellite Based on CubeSat Standards. Honours project, University of ADELAIDE: 14.
  • Yuhaniz, S., Vladimirova, T., and Sweeting, M. 2005. Embedded Intelligent Imaging On-Board Small Satellites. Advances in Computer Systems Architecture, 3740:90-103.
  • Larson, W.J., and Wertz, J.R. (eds). 1999. Space Mission Analysis and Design. 3rd ed. California: Microcosm &Dordrecht: Kluwer: 44.
  • NASA. 2005. General Environmental Verification Standard (GEVS) For GSFC Flight Programs and Projects. http://standards.gsfc.nasa.gov/gsfc-std/gsfc-std-7000.pdf [24 August 2011].
  • Dougherty, G. 2009. Digital Image Processing for Medical Applications. New York: Cambridge University Press.
  • Gumstix. n.d. Overo COMS. http://www.gumstix.com/store/index.php?cPath=33 [25 August 2011].