IDEAS home Printed from https://ideas.repec.org/a/epw/ejeng0/v1y2018i4id60176.html

Speckle Reduction in SAR Images by Using Homogeneity NeighShrink

Author

Listed:
  • Sarungbam Bonny
  • Yambem Jina Chanu

Abstract

Synthetic Aperture Radar (SAR) image suffers from severe artifacts caused by speckle noise which is multiplicative in nature. Some of the adaptive filters such as the Lee filter, the Frost filter and the Kuan filter are the well known speckle filters. These filters adapt the filter coefficients based on the pixels within a fixed moving window. Though it removes speckle noise well in the homogeneous regions, it leaves noise in the heterogeneous areas to preserve the edges and fine details or smoothes the edges to remove the noise in this area. In order to reduce the speckle noise with the preservation of edges, a new method based on wavelet analysis and adaptive mean filtering is proposed in this paper. A comparative study with other methods show that proposed method is better in preserving edges and fine details while reducing the speckle noise.

Suggested Citation

  • Sarungbam Bonny & Yambem Jina Chanu, 2018. "Speckle Reduction in SAR Images by Using Homogeneity NeighShrink," European Journal of Engineering and Technology Research, European Open Science, vol. 1(4), pages 9-14, July.
    • Handle: RePEc:epw:ejeng0:v:1:y:2018:i:4:id:60176
    DOI: 10.24018/ejeng.2016.1.4.176
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejeng/article/view/60176
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejeng/article/download/60176/11706
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejeng.2016.1.4.176?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:epw:ejeng0:v:1:y:2018:i:4:id:60176. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejeng .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.