@article{MAKHILLRJAS2012779224,
    title = {Coarse to Fine Level Set Segmentation of SAR Imagery Based on The Brovey Transform Fusion of Optical Imagery},
    journal = {Research Journal of Applied Sciences},
    volume = {7},
    number = {7},
    pages = {334-339},
    year = {2012},
    issn = {1815-932x},
    doi = {rjasci.2012.334.339},
    url = {https://makhillpublications.co/view-article.php?issn=1815-932x&doi=rjasci.2012.334.339},
    author = {P. and},
    keywords = {Brovey fusion,coarse to fine level set,discrete wavelet transform,SAR image,optical image,contour extraction},
    abstract = {This study delivers a new approach for contour extraction 
  in different terrains of the same location of both SAR images and optical images 
  using a coarse to fine level set scheme. Segmentation in both SAR and optical 
  imagery is a trivial challenge for many researchers. The main target is to segment 
  buildings, lands and oil tanks perfectly via fusion with a level set method. 
  First Brovey transform is applied in fusing both SAR images and optical images. 
  Discrete wavelet transform is utilized for extracting an image from a background. 
  Finally in order to segment an image a coarse to fine level set is implemented. 
  Experiments have been carried out on quick bird and Terra SAR-x images to validate 
  the proposed methodology.}
    }