Skip to main content

A New Shadow Tracking Method to Locate the Moving Target in SAR Imagery Based on KCF

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

Shadow detection and tracking (SDT) is the effective method to locate moving targets, which always be shifted or smeared outside the scene, in different images sequence by Synthetic Aperture Radar (SAR). In this process, the detection of shadow is obtained on the first frame image, and the Kernelized Correlation Filter is used to track target among the following SAR images, using the changes between the image sequence. By the experiments and performance analysis, the validity of the proposed algorithm can be demonstrated.

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 EPUB and 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
Hardcover Book
USD 329.99
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. Wells, L., Sorensen, K., Doerry, A., et al.: Developments in SAR and IFSAR systems and technologies at sandia national laboratories. In: Aerospace Conference (2003)

    Google Scholar 

  2. Dungan, K.E.: Vehicle detection in wide-angle SAR. In: SPIE Defense+Security, pp. 98430H–98430H-6. International Society for Optics and Photonics (2016)

    Google Scholar 

  3. Yamaoka, T., Suwa, K., Hara, T., et al.: Radar video generated from synthetic aperture radar image. In: 2016 IEEE International on Geoscience and Remote Sensing Symposium (IGARSS), pp. 6509–6512. IEEE (2016)

    Google Scholar 

  4. Henriques, J.F., Caseiro, R., Martins, P., Batista, J.: High-speed tracking with kernelized correlation filters. In: TPAMI, pp. 3–5 (2014)

    Google Scholar 

  5. Rifkin, R., Yeo, G., Poggio, T.: Regularized least-squares classification. Nato Sci. Ser. Sub Ser. III Comput. Syst. Sci. 190, 131–154 (2003)

    Google Scholar 

Download references

Acknowledgement

This work was supported by the National Natural Science Foundation of China 61201304 and 61201308, It also thanks for the Aerospace Innovation Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yun Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, Z., Zhang, Y., Li, H., Mu, H., Zhuang, Y. (2019). A New Shadow Tracking Method to Locate the Moving Target in SAR Imagery Based on KCF. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_322

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6571-2_322

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics