Skip to main content

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 111))

  • 1678 Accesses

Abstract

A wavelength band selection method for target detection is proposed in the paper, which is based on the fundamentals of radiative transfer in atmosphere. The method aims at improving target detection performance according to wavelength band selection in considering the target radiance, the background radiance, the atmospheric transmittance, and the response of the receiving system. The typical spectral data of the target-background contrast and the transmittance were computed by MODTRAN, with the midlatitude summer atmospheric model in the daytime, clouds free, urban aerosols models, spring-summer aerosol profiles and background stratospheric profiles extinction models. The analysis of the wavelength band was performed to the typical spectral data, thus the optimal detection wavelength band was selected.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. American Meteorological Society, Glossary of Meteorology. American meteorological society, Boston (1990)

    Google Scholar 

  2. National Weather Service, Federal Meteorological Handbook (1) (1995)

    Google Scholar 

  3. Douglas, C.A., Booker, R.L.: Visual Range: Concepts, Instrumental Determination and Aviation Applications, U.S. Department of Transportation, Systems Research and Developments Service, Washington D.C. 20590, Report No. FAA-RD-77-8 (1977)

    Google Scholar 

  4. Schmidt, R.A.: Measuring visibility in blowing snow. In: Proc. 2nd International Symposium on Snow Removal and Ice Control Research. Spec. Rep, 185, pp. 200–207 (1978)

    Google Scholar 

  5. Kwon, T.M.: An Automatic Visibility Measurement System Based on Video Cameras, Minnesota Department of Transportation, MN/RC-1998-25 (1998)

    Google Scholar 

  6. Zhou, X.: The Advanced Atmospheric Physics (in Chinese). The Meteorological Press, Beijing (1993)

    Google Scholar 

  7. Liou, K.-N.: An introduction to Atmospheric Radiation. Academic, New York (1980)

    Google Scholar 

  8. Shettle, E.P., Weinman, J.A.: The transfer of solar irradiance through inhomogeneous turbid atmosphere evaluated by Eddington’s approximation. J. Atmos. Sci. 27, 1048–1055 (1970)

    Article  Google Scholar 

  9. Joseph, J.H., Wiscombe, W.J., Weinman, J.A.: The delta-Eddington approximation for radiative flux transfer. J. Atoms. Sci. 33, 2452–2459 (1976)

    Article  Google Scholar 

  10. Liu, C., Liu, W.: Atmospheric Radiation (in Chinese). The Nanjing University Press, Nanjing (1990)

    Google Scholar 

  11. Elterman, L.: Vertical-Attenuation Mode with Eight Surface Meteorological Range 2 to 13 Kilometers, Environment Research Papers, NO. 318, AFCRL-70-200 (1970)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, Y., Xiang, J., Ren, J., Zhou, Z., Huang, S. (2011). Optimal Wavelength Bands for Detection of Extra-Atmospheric Target. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_66

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25188-7_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25187-0

  • Online ISBN: 978-3-642-25188-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics