Paper Title:
Oil Spill in SAR Image Denoising Method Based on Contourlet HMT
  Abstract

Contourlet domain hidden markov trees model was introduced in the SAR image denosing research work. Compared to the classical denosing method, the denoised SAR image can preserve information of oil spill and advantages for following up work. According to the gray level, this method segmented the SAR image to region of oil spill and ocean. Then using the method of Contourlet domain hidden markov trees model denoised the different regions. Experimental results show that the method represents better performance in speckle reduction and edges information detection.

  Info
Periodical
Chapter
Chapter 2: Microwaves Optics and Image
Edited by
David Wang
Pages
545-549
DOI
10.4028/www.scientific.net/KEM.500.545
Citation
K. Liu, X. F. Wang, "Oil Spill in SAR Image Denoising Method Based on Contourlet HMT", Key Engineering Materials, Vol. 500, pp. 545-549, 2012
Online since
January 2012
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Price
$32.00
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