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High-resolution SAR image despeckling based on nonlocal means filter and modified AA model

  • Qiao Ke
  • , Sun Zeng-Guo
  • , Yang Liu
  • , Wei Wei
  • , Marcin Wozniak
  • , Rafał Scherer
  • Northwestern Polytechnical University Xian
  • Shaanxi Normal University
  • Huaqiao University
  • Xi'an University of Technology
  • Częstochowa University of Technology

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

A new speckle suppression algorithm is proposed for high-resolution synthetic aperture radar (SAR) images. It is based on the nonlocal means (NLM) filter and the modified Aubert and Aujol (AA) model. This method takes the nonlocal Dirichlet function as a linear regularization item, which constructs the weight by measuring the similarity of images. Then, a new despeckling model is introduced by combining the regularization item and the data item of the AA model, and an iterative algorithm is proposed to solve the new model. The experiments show that, compared with the AA model, the proposed model has more effective performance in suppressing speckle; namely, ENL and DCV measures are 21.75% and 4.5% higher, respectively, than for NLM. Moreover, it also has better performance in keeping the edge information.

Original languageEnglish
Article number8889317
JournalSecurity and Communication Networks
Volume2020
DOIs
Publication statusPublished - 2020

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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