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