A Multiscale Fusion Approach for Change Detection in SAR Images

  • Authors

    • R. Vijayageetha
    • S. Kalaivani
    2018-10-02
    https://doi.org/10.14419/ijet.v7i4.10.20818
  • Speckle, Difference image, Laplacian pyramid fusion, Otsu threshold algorithm, Performance evaluation, SAR image.

  • Abstract

    Best performance and greatness in precise changes are vital factors of change detection. The proposed method is mutual task to deal about preprocessing and change detection of multitemporal SAR images. In preprocessing stage, Speckle Reducing Anisotropic Diffusion is implemented in each layer of multiscale pyramid transform. The speckle free images are interpreted by Absolute difference method and XOR operator to retrieve primary difference image. After that desired change detection is fused by laplacian pyramid coefficient. Fused difference image incorporates the advantages of absolute difference and XOR operation. Finally robotic threshold algorithm of Otsu is used to predict exact change detection. For experimental purposes two data sets are preferred from Envisat and TerraSAR-X images. Standard quality has been evaluated on the proposed method to quantitatively prove the performance.

     

     

  • References

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  • How to Cite

    Vijayageetha, R., & Kalaivani, S. (2018). A Multiscale Fusion Approach for Change Detection in SAR Images. International Journal of Engineering & Technology, 7(4.10), 104-111. https://doi.org/10.14419/ijet.v7i4.10.20818

    Received date: 2018-10-03

    Accepted date: 2018-10-03

    Published date: 2018-10-02