TY  - JOUR
T1  - Coarse to Fine Level Set Segmentation of SAR Imagery Based on The Brovey Transform Fusion of Optical Imagery
AU - Selvarani, P. AU - Vaithyanathan, V. 
JO  - Research Journal of Applied Sciences
VL  - 7
IS  - 7
SP  - 334
EP  - 339
PY  - 2012
DA  - 2001/08/19
SN  - 1815-932x
DO  - rjasci.2012.334.339
UR  - https://makhillpublications.co/view-article.php?doi=rjasci.2012.334.339
KW  - Brovey fusion
KW  -coarse to fine level set
KW  -discrete wavelet transform
KW  -SAR image
KW  -optical image
KW  -contour extraction
AB  - 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.
ER  -