DocumentCode :
519523
Title :
A SAR images despeckling method based on adaptive bandelet thresholding
Author :
Fang-Fang, Hu ; Jin-Mang, Liu ; Jin-Cheng, Zhang
Author_Institution :
Missle Inst., Air Eng. Univ., Sanyuan, China
Volume :
1
fYear :
2010
fDate :
17-18 April 2010
Firstpage :
406
Lastpage :
408
Abstract :
In this paper, we have presented an adaptive bandelets based on Bayesshrink soft-thresholding despeckling method for polarimetric SAR images. Experimental results demonstrate that our algorithm has a good despeckling performance in polarimetric SAR images and typically preserves even the minor edges comparing with wavelet transform. Besides, the quantitative analysis of evaluation parameters is not difficult to find that the algorithm proposed in this paper is the optimal speckle reduction.
Keywords :
Bayes methods; image segmentation; radar imaging; radar polarimetry; synthetic aperture radar; wavelet transforms; Bayes shrink soft-thresholding despeckling; adaptive bandelet thresholding; image despeckling; polarimetric SAR images; speckle reduction; synthetic aperture radar; wavelet transform; Discrete wavelet transforms; Ecosystems; Geometry; Image analysis; Lagrangian functions; Noise reduction; Sampling methods; Speckle; Wavelet domain; Wavelet transforms; Adaptive Bandelet Thresholding; Despeckling; SAR images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Health Networking, Digital Ecosystems and Technologies (EDT), 2010 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-5514-0
Type :
conf
DOI :
10.1109/EDT.2010.5496549
Filename :
5496549
Link To Document :
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