Skip to main content

On-orbit Spatial Resolution Estimation of CBERS-2 Imaging System Using Ideal Edge Target

  • Chapter

Part of the book series: Multimedia Systems and Applications Series ((MMSA,volume 31))

Summary

The China-Brazil Earth Resources Satellite (CBERS-2) has been developed by China and Brazil and was launched on October 2003. This satellite carries three sensors: WFI, CCD and IRMSS. Due to limitations of the CCD sensor components, the images acquired by the imaging system undergo a blurring. Under the hypothesis that the Point Spread Function (PSF) of the imaging system is Gaussian, the blurring effect of an ideal step edge can be represented as an error function (erf). As the PSF is assumed separable, its identification reduces to the estimation of two standard deviations or equivalently to two EIFOVs (Effective Instantaneous Field of View), one for the along-track direction and another for the across-track. This work describes an approach for the on-orbit CBERS-2 CCD spatial resolution estimation using a set of subimages of natural edges and allows an objective assessment of the imaging system performance.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Banon GJF (1989) Bases da computação gráfica.Editora Campus Ltda, Rio de Janeiro

    Google Scholar 

  2. Banon GJF, Santos AC (1993) Digital filter design for sensor simulation: application to the Brazilian Remote Sensing Satellite. São José dos campos: INPE. 62 p. (INPE-5523- RPQ/665). Available from: http://bibdigital.sid.inpe.br/rep/dpi.inpe.br/banon/1995/12.14.18.12 Access date: 29 oct. 2003.

    Google Scholar 

  3. Bensebaa K, Banon GJF, Fonseca LMG (2004) On-orbit Spatial Resolution Estimation of CBERS-1 CCD Imaging System from bridge images. In: Congress 4 Spatial Resolution Estimation of CBERS-2 47 International Society for Photogrammetry and Remote Sensing, 20., 12-23 July 2004, Istanbul, Turkey. Proceedings… Istambul: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 35, part B1, p. 36-41.

    Google Scholar 

  4. Bensebaa K, Banon GJF, Fonseca LMG (2004) On-orbit spatial resolution estimation of CBERS-1 CCD camera. In: International Conference on Image and Graphics (ICIG 2004), 3., 18-20 dec. 2004, Hong Kong, China. Proceedings… Los Alamitos, CA: IEEE Computer Society Press. v. 2 p. 576-579.

    Google Scholar 

  5. Bensebaa K, Banon GJF, Fonseca LMG (2005) On-orbit spatial resolution estimation of CBERS-1 CCD imaging system using higher resolution images. In: Simpósio Brasileiro de Sensoriamento Remoto (SBSR), 12., 2005, Goiânia. Anais… São José dos Campos: INPE, 2005. Artigos, p. 827-834. CD-ROM. ISBN 85-17-00018-8. Available from: http://bibdigital.sid.inpe.br/rep/ltid.inpe.br/sbsr/2004/11.19.19.28 Access date: 12 may 2005.

    Google Scholar 

  6. Bretschneider T (2002) Blur identification in satellite imagery using image doublets. In: Asian Conference on Remote Sensing, 23., Kathmandu, Nepal. Proceedings…Kathmandu: GIS Development, 2002, CD-ROM. Available from: http://www.gisdevelopment.net/aars/acrs/2002/adp/119.pdf Access date: 11 apr. 2004.

    Google Scholar 

  7. Choi T, Helder D (2003) On-Orbit Modulation Transfer Function (MTF) Measurement. Remote Sensing of Environment 88:42–45

    Google Scholar 

  8. Fonseca LMG, Mascarenhas NDD (1987) Determinação da função de transferência do sensor TM do satélite Landsat-5. In: Congresso Nacional de Matemtica Aplicada e Computacional, 10., 21-26 set. 1987, Gramado, BR. Resumo dos Trabalhos... São José dos Campos: INPE, 1987. p. 297-302. Publicado como: INPE-4213-PRE/1094

    Google Scholar 

  9. Gander W, Golub GH, Strebel R (1994) Least-squares fitting of circles and ellipses, Bit, 34:558–578

    Article  MATH  MathSciNet  Google Scholar 

  10. Gonzalez RC, Woods RE (2002) Digital Image Processing 2nd Ed. Prentice Hall, New Jersey

    Google Scholar 

  11. Himmelblau DM (1972) Applied nonlinear programming. McGraw-Hill, New York

    MATH  Google Scholar 

  12. Kohm K (2004) Modulation Transfer Function Measurement Method and Results for The Orbview-3 High Resolution Imaging Satellite. In: Congress International Society for Photogrammetry and Remote Sensing, 20., 12-23 July 2004, Istanbul, Turkey. Proceedings… Istambul: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 35, part B1, p. 7–12

    Google Scholar 

  13. Kreyszig E (1993) Advanced engineering mathematics. John Wiley and Sons, New York

    MATH  Google Scholar 

  14. Luxen M, Förstner W (2002) Characterizing image quality: Blind estimation of the point spread function from a single image. In: ISPRS Commission III Symposium (Photogrammetric Computer Vision), 9-13 Setember 2002, Graz, Austria. Proceedings…Graz: PCV02, 2002, v. XXXIV, part 3A, p. 205–210

    Google Scholar 

  15. Markham BL (1985) The Landsat sensor’s spatial response. IEEE Transactions on Geoscience and Remote Sensing, 23:864–875

    Article  Google Scholar 

  16. Slater PN (1980) Remote sensing optics and optical system. Addison-Wesley, London.

    Google Scholar 

  17. Storey JC (2001) Landsat 7 on-orbit modulation transfer function estimation. In: Sensors, Systems, and Next Generation Satellites 5., 17-20 sep. 2001, Toulouse, France. Proceedings… Bellingham, WA, USA: SPIE, 2001, p. 50– 61

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Bensebaa, K., Banon, G.J., Fonseca, L.M., Erthal, G.J. (2008). On-orbit Spatial Resolution Estimation of CBERS-2 Imaging System Using Ideal Edge Target. In: Damiani, E., Yétongnon, K., Schelkens, P., Dipanda, A., Legrand, L., Chbeir, R. (eds) Signal Processing for Image Enhancement and Multimedia Processing. Multimedia Systems and Applications Series, vol 31. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72500-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-72500-0_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-72499-7

  • Online ISBN: 978-0-387-72500-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics