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Assessment of SAR Image Filtering Using Adaptive Stack Filters

  • María E. Buemi
  • Marta Mejail
  • Julio Jacobo
  • Alejandro C. Frery
  • Heitor S. Ramos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7042)

Abstract

Stack filters are a special case of non-linear filters. They have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is then filtered by a Boolean function, which characterizes the filter. Adaptive stack filters can be designed to be optimal; they are computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work we study the performance of adaptive stack filters when they are applied to Synthetic Aperture Radar (SAR) images. This is done by evaluating the quality of the filtered images through the use of suitable image quality indexes and by measuring the classification accuracy of the resulting images.

Keywords

Non-linear filters speckle noise stack filters SAR image filtering 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • María E. Buemi
    • 1
  • Marta Mejail
    • 1
  • Julio Jacobo
    • 1
  • Alejandro C. Frery
    • 2
  • Heitor S. Ramos
    • 2
  1. 1.Departamento de Computación Facultad de Ciencias Exactas y NaturalesUniversidad de Buenos AiresArgentina
  2. 2.LCCV & CPMAT Instituto de ComputaçãoUniversidade Federal de AlagoasBrazil

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