Skip to main content
SpringerLink
Log in

RF Imagery from SAR Data Using Chirp Scaling Algorithm

  • Conference paper
  • First Online:
Advances in Decision Sciences, Image Processing, Security and Computer Vision (ICETE 2019)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 4))

Included in the following conference series:

Abstract

An airborne or space borne microwave Synthetic Aperture Radar (SAR) system is used for very high resolution imaging purpose and has advantages over optical imaging system. Its performance is not limited by severe weather conditions like fog, snow or clouds and it is also independent of day-night conditions. In this paper the authors formed a SAR image using Chirp Scaling Algorithm (CSA) of an Indian coastal area using actual SAR Data. The CSA is selected in view of reduced computation time and to make the processing independent of interpolations. The main processing operations FFTs, IFFTs, Phase multiplications and additions of CSA are described in detail. The CSA is first verified with simulated point target data and then it is used for processing of actual SAR data. SAR image is formed and main features are compared with google image of the same area. A very good matching is observed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

  1. Skolnik MI (2008) Radar hand book, 3rd ed. McGraw Hill, New York

    Google Scholar 

  2. Stimson GW (2014) Introduction to airborne radar, 3rd ed. SciTech Publishing, Raleigh

    Google Scholar 

  3. Barton DK (1998) Radar technology encyclopedia. Artech House, Norwood

    Google Scholar 

  4. Richards MA (2014) Fundamentals of radar signal processing, 2rd ed. McGraw Hill, New York

    Google Scholar 

  5. Cumming IG, Wong FH (2005) Digital processing of synthetic aperture radar data, algorithms and implementation. Artech House, Boston

    Google Scholar 

  6. Curlander J, Donough RM (1991) Synthetic aperture radar: systems and signal processing. Wiley, New York

    Google Scholar 

  7. Carrara WG, Goodman RS, Majewski RM (1995) Spotlight synthetic aperture radar, signal processing algorithms. Artech House, Boston

    Google Scholar 

  8. Moreia A, Mittermayer J, Scheiber R (1996) Extended chirp scaling algorithm for air – and space borne SAR data processing in stripmap and scan SAR imaging modes. IEEE Trans Geosci Remote Sens 34(5):1123–1136

    Article  Google Scholar 

  9. Soumekh M (1999) Synthetic aperture radar signal processing with matlab algorithms. Wiley, New York

    Google Scholar 

  10. Raney RK, Runge H, Bamler R, Cumming IG, Wong FH (1994) Precision SAR processing using chirp scaling. IEEE Trans Geosci Remote Sens 32(4):786–799

    Article  Google Scholar 

  11. Runge H, Bamler R (1992) A novel high precision SAR focusing algorithm based on chirp scaling. In: Proceedings of the international geoscience and remote sensing symposium (IGARSS 1992), pp 372–375

    Google Scholar 

  12. Cumming IG, Wong FH, Raney RK (1992) A SAR processing algorithm with no interpolation. In: Proceedings of the international geoscience and remote sensing symposium (IGARSS 1992), pp 376–379

    Google Scholar 

  13. Jin MY, Cheng F, Chen M (1993) Chirp scaling algorithms for SAR processing. In: Proceedings of the international geoscience and remote sensing symposium (IGARSS 1993), vol 3, pp 1169–1172

    Google Scholar 

  14. Moreira A, Huang Y (1994) Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation. IEEE Trans Geosci Remote Sens 32(5):1029–1040

    Google Scholar 

  15. Davidson GW, Cumming IG, Ito MR (1996) A chirp scaling approach for processing squint mode SAR data. IEEE Trans Aerosp Electron Syst 32(1):121–133

    Article  Google Scholar 

  16. Moreira A, Scheiber R, Mittermayer J, Spielbauer R (1995) Real – time implementation of the extended chirp scaling algorithm for air and space borne SAR processing. In: Proceedings of the international geoscience and remote sensing symposium (IGARSS 1995), vol 3, pp 2286–2288

    Google Scholar 

  17. Henderson FM, Lewis AJ (1998) Manual of remote sensing, vol 2, principles and applications of imaging radar, 3rd ed. Wiley, New York

    Google Scholar 

  18. https://www.google.co.in/maps/place/visakhapatnam

Download references

Acknowledgments

The authors are thankful to Technology Director, Directorate of Radar Seekers and Systems, Director, Research Centre Imarat, DG(MSS) and Chairman, DRDO for their consistent support and encouragement and also for providing the necessary guidance and facilities for carrying out the research work.

Author information

Authors and Affiliations

  1. Directorate of Radar Seekers and Systems, Research Centre Imarat, DRDO, Hyderabad, India

    P. P. Sastri, Tapas Kumar Pal & B. S. V. Prasad

Authors
  1. P. P. Sastri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tapas Kumar Pal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. B. S. V. Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. P. Sastri .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of CSE, CMR Technical Campus, Hyderabad, Telangana, India

    K. Srujan Raju

  3. Department of CSE, Osmania University, University College of Engineering, Hyderabad, Telangana, India

    K. Shyamala

  4. Department of ECE, Osmania University, University College of Engineering, Hyderabad, Telangana, India

    D. Rama Krishna

  5. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sastri, P.P., Pal, T.K., Prasad, B.S.V. (2020). RF Imagery from SAR Data Using Chirp Scaling Algorithm. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-24318-0_3

Download citation

Publish with us

Policies and ethics

Search

Navigation