Despeckling of SAR Image Based on Fuzzy Inference System

  • Debashree Bhattacharjee
  • Khwairakpam Amitab
  • Debdatta Kandar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 10)


Synthetic Aperture Radar (SAR) is a type of imaging radar system that is widely used for remote sensing of Earth. It is observed that the images obtained from the SAR systems are often corrupted with speckle noise which reduces the visibility of the image. Preprocessing such images is often essential to enhance the clarity of the image for acquiring the required information present in it. A nonlinear filtering technique is proposed in this work, based on fuzzy inference rule-based systems, which uses fuzzy sets and fuzzy rules that operates on the luminance difference between the central pixel and its neighbors in a 3 × 3 window to reduce the presence of speckle noise in the SAR images. A comparative evaluation is performed on the proposed filter with three other existing filtering methods namely Mean, Median and FIRE filter for mixed noise to evaluate its performance.


Synthetic Aperture Radar (SAR) Speckle noise Fuzzy inference system Image processing Image filtering 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Debashree Bhattacharjee
    • 1
  • Khwairakpam Amitab
    • 1
  • Debdatta Kandar
    • 1
  1. 1.Department of Information Technology, School of TechnologyNorth Eastern Hill UniversityShillongIndia

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