DocumentCode
2604386
Title
A Method of Reducing Speckle Noise of SAR Images Based on Wavelets and Wedgelet HMT Models
Author
Jin, Haiyan ; Jiao, Licheng ; Liu, Fang
Author_Institution
Inst. of Intelligent Inf. Process., Xidian Univ., Xi´´an
Volume
3
fYear
0
fDate
0-0 0
Firstpage
635
Lastpage
638
Abstract
In terms of the statistical characteristic of SAR images, combining the multi-scale wavelets and wedgelet approximation with HMT models, a novel method of reducing speckle noise of SAR images is presented in this paper. Furthermore, analyze the mechanism and computation complexity of this technique. The validity and efficiency are shown by experiments
Keywords
approximation theory; computational complexity; hidden Markov models; image denoising; radar imaging; synthetic aperture radar; wavelet transforms; HMT models; SAR image; computation complexity; speckle noise reduction; statistical characteristic; wavelet approximation; wedgelet approximation; Discrete wavelet transforms; Hidden Markov models; Image denoising; Military computing; Noise reduction; Pixel; Signal processing; Signal to noise ratio; Speckle; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location
Hong Kong
ISSN
1051-4651
Print_ISBN
0-7695-2521-0
Type
conf
DOI
10.1109/ICPR.2006.101
Filename
1699606
Link To Document