hidden markov trees
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2017 ◽  
Vol 44 (11) ◽  
pp. 5835-5848 ◽  
Author(s):  
Houda Hanzouli-Ben Salah ◽  
Jerome Lapuyade-Lahorgue ◽  
Julien Bert ◽  
Didier Benoit ◽  
Philippe Lambin ◽  
...  

2012 ◽  
Vol 500 ◽  
pp. 545-549 ◽  
Author(s):  
Kun Liu ◽  
Xiao Feng Wang

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.


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