Anisotropic Diffusion Despeckling for High Resolution SAR Images

Abstract

The main purpose of this work is to perform a new denoising method based on a nonlinear anisotropic diffusion for the reducing of the multiplicative speckle in high resolution Synthetic Aperture Radar (SAR) images. In order to be applicable to the sampled data and reduce computing complexity, an efficient discretization scheme, e.g. additive operator splitting (AOS) scheme, is chosen here for the proposed approach. Examples are given comparing the new filter to established speckle noise reduction methods on an ERS-2 SAR image. Experimental results show that this method not only can effectively reduce speckle, while preserving important discontinuities present in the input data, but also obtain a better performance than the traditional local statistical filter.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2004
Accession Number
ADA436865

Entities

People

  • Chao Wang
  • Chen Xi
  • Tang Yixian
  • Zhang Hong

Organizations

  • Beijing Normal University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Data Processing
  • Detectors
  • Diffusion
  • Diffusivity
  • Equations
  • Filters
  • Filtration
  • High Resolution
  • Image Processing
  • Image Segmentation
  • Noise
  • Remote Sensing
  • Synthetic Aperture Radar
  • Test And Evaluation

Readers

  • Approximation Theory.
  • Medical Imaging.
  • Neural Network Machine Learning.