Oil Spill in SAR Image Denoising Method Based on Contourlet HMT

Abstract:

Article Preview

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:

Edited by:

David Wang

Pages:

545-549

DOI:

10.4028/www.scientific.net/KEM.500.545

Citation:

K. Liu and 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

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.