Skip to main content

Part of the book series: Springer Theses ((Springer Theses))

  • 1162 Accesses

Abstract

In the previous section, the statistics of the detector were derived to establish its theoretical performance. Although the assessment returned promising results, the validation on real data is an unavoidable step, since in real scenarios the performance of an algorithm can be dramatically degraded by factors which cannot be easily taken into account in a theoretical model.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.00
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

Institutional subscriptions

References

  • Attema EPW, Ulaby FT (1978) Vegetation modeled as water cloud. Radio Sci 13:357–364

    Article  Google Scholar 

  • Cameron WL (1996) Simulated polarimetric signatures of primitive geometrical shapes. IEEE Trans Geosci Remote Sensing 34:793–803

    Article  Google Scholar 

  • Campbel JB (2007) Introduction to remote sensing. The Guilford Press, New York

    Google Scholar 

  • Chaney RD, Bud MC, Novak LM (1990) On the performance of polarimetric target detection algorithms. IEEE Aerospace Electron Syst Mag 5:10–15

    Article  Google Scholar 

  • Cloude SR (1987) Polarimetry: the characterisation of polarisation effects in EM scattering. Electronics Engineering Department, University of York, York

    Google Scholar 

  • Cloude RS (1995a) An introduction to wave propagation & antennas. UCL Press, London

    Google Scholar 

  • Cloude SR (1995b) Lie groups in EM wave propagation and scattering. In: Baum C, Kritikos HN (eds) Electromagnetic symmetry. Taylor and Francis, Washington, pp 91–142. ISBN 1-56032-321-3 (chapter 2)

    Google Scholar 

  • Cloude SR (2009) Polarisation: applications in remote sensing. Oxford University Press, Oxford. ISBN 978-0-19-956973-1

    Google Scholar 

  • Cloude SR, Pottier E (1997) An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans Geosci Remote Sensing 35:68–78

    Article  Google Scholar 

  • Cloude SR, Corr DG, Williams ML (2004) Target detection beneath foliage using polarimetric synthetic aperture radar interferometry. Waves Random Complex Media 14:393–414

    Google Scholar 

  • Curlander JC, Mc donough RN (1991) Synthetic aperture radar: systems and signal processing. Wiley, New York

    Google Scholar 

  • Dong Y, Forster B (1996) Understanding of partial polarization in polarimetric SAR data. Int J Remote Sens 17:2467–2475

    Article  Google Scholar 

  • Durden SL, Van Zyl JJ, Zebker HA (1999) Modeling and observations of the radar polarization signatures of forested areas. IEEE Trans Geosci Remote Sensing 27:2363–2373

    Google Scholar 

  • Fleischman JG, Ayasli S, Adams EM (1996) Foliage attenuation and backscatter analysis of SAR imagery. IEEE Trans Aerospace Electron Syst 32:135–144

    Article  Google Scholar 

  • Fung AK, Ulaby FT (1978) A scatter model for leafy vegetation. IEEE Trans Geosci Electron 16:281–286

    Article  Google Scholar 

  • Hajnsek I, Schön H, Jagdhuber T, Papathanassiou K (2007) Potentials and limitations of estimating soil moisture under vegetation cover by means of PolSAR. In: Fifth international symposium on retrieval of bio and geophysical parameters from SAR data for land applications, Bari, September 2007

    Google Scholar 

  • Horn R, Nannini M, Keller M (2006) SARTOM Airborne campaign 2006: data acquisition report. DLR-HR-SARTOM-TR-001

    Google Scholar 

  • Huynen JR (1970) Phenomenological theory of radar targets. Delft Technical University, Delft

    Google Scholar 

  • Kay SM (1998) Fundamentals of statistical signal processing. Volume 2: detection theory. Prentice Hall, Englewood Cliffs

    Google Scholar 

  • Lang RH (1981) Electromagnetic scattering from a sparse distribution of lossy dielectric scatterers. Radio Sci 16:15–30

    Article  Google Scholar 

  • Lee JS, Pottier E (2009) Polarimetric radar imaging: from basics to applications. CRC Press, Boca Raton

    Google Scholar 

  • Li J, Zelnio EG (1996) Target detection with synthetic aperture radar. IEEE Trans Aerospace Electron Syst 32:613–627

    Article  Google Scholar 

  • Mott H (2007) Remote sensing with polarimetric radar. Wiley, Hoboken

    Google Scholar 

  • Novak LM, Hesse SR (1993) Optimal polarizations for radar detection and recognition of targets in clutter. In: Proceedings of IEEE national radar conference, Lynnfield, MA, pp 79–83

    Google Scholar 

  • Novak LM, Burl MC, Irving MW (1993) Optimal polarimetric processing for enhanced target detection. IEEE Trans Aerospace Electron Syst 20:234–244

    Article  Google Scholar 

  • Novak LM, Owirka GJ, Weaver AL (1999) Automatic target recognition using enhanced resolution SAR data. IEEE Trans Aerospace Electron Syst 35:157–175

    Article  Google Scholar 

  • Papathanassiou KP, Cloude SR (2001) Single-baseline polarimetric SAR interferometry. IEEE Trans Geosci Remote Sensing 39:2352–2363

    Article  Google Scholar 

  • Rose HE (2002) Linear algebra: a pure mathematical approach. Birkhauser, Berlin

    Google Scholar 

  • Rothwell EJ, Cloud MJ (2001) Electromagnetics. CRC Press, Boca Raton

    Google Scholar 

  • Strang G (1988) Linear algebra and its applications, 3rd edn. Thomson Learning, USA

    Google Scholar 

  • Stratton JA (1941) Electromagnetic theory. McGraw-Hill, New York

    Google Scholar 

  • Treuhaft RN, Cloude RS (1999) The structure of oriented vegetation from polarimetric interferometry. IEEE Trans Geosci Remote Sensing 37:2620–2624

    Article  Google Scholar 

  • Treuhaft RN, Siqueria P (2000) Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Sci 35:141–177

    Article  Google Scholar 

  • Tsang L, Kong JA, Shin RT (1985) Theory of microwave remote sensing. Wiley, New York

    Google Scholar 

  • Ulaby FT, Elachi C (1990) Radar polarimetry for geo-science applications. Artech House, Norwood

    Google Scholar 

  • Woodhouse IH (2006) Introduction to microwave remote sensing. CRC Press, Taylor and Francis Group, Boca Raton

    Google Scholar 

  • Zebker HA, Van Zyl JJ (1991) Imaging radar polarimetry: a review. In: Proceedings of the IEEE, p 79

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Marino, A. (2012). Validation with Airborne Data. In: A New Target Detector Based on Geometrical Perturbation Filters for Polarimetric Synthetic Aperture Radar (POL-SAR). Springer Theses. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27163-2_6

Download citation

Publish with us

Policies and ethics