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Hybrid Laplacian Gaussian Based Speckle Removal in SAR Image Processing

  • A. Glory SujithaEmail author
  • Dr. P. Vasuki
  • A. Amala Deepan
Transactional Processing Systems
  • 28 Downloads
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health

Abstract

Synthetic Aperture Radar (SAR) images are plays a significant role in different application fields like airborne, civilian and to observe various scenarios over the horizon. Unfortunately, SAR images are heavily affected by speckle noise. The speckle degrades the image quality which makes interpretation of images harder. Therefore suppression of speckle is important for further processing. In this paper a new method is proposed for despeckling of SAR image comprises of two stages. First stage is despeckling process which is based on directional smoothing and hard thresholding technique and second stage is image enhancement process which is based on applying HLGF filter. The proposed work has been tested on and show remarkable performance over the existing system. The simulation results confirmed that achieving a better Peak Signal to Noise Ratio (PSNR), Speckle Suppression Index (SSI) compared with existing method.

Keywords

Speckle reduction Synthetic aperture radar (SAR) image Directional smoothing hybrid laplacian gaussian filter (HLGF) Dehazing algorithm PSNR SSI and SMPI 

Notes

Acknowledgements

The Author would like to thank MSTAR database to access SAR images.

Compliance with ethical standards

Conflict of interest

No conflicts of interest: Author 1 & 2 declares that they have no conflict of interest.

Human and animals rights

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008″.

Informed consent

Informed consent was obtained from all patients for being included in the study.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • A. Glory Sujitha
    • 1
    Email author
  • Dr. P. Vasuki
    • 2
  • A. Amala Deepan
    • 1
  1. 1.Department of CSESSM Institute of Engineering and TechnologyDindigulIndia
  2. 2.Department of ECEKLN College of Information TechnologySivagangai DistrictIndia

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