By Topic

Wavelet-based SAR image despeckling using Cauchy pdf modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Guozhong Chen ; Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai ; Xingzhao Liu

Synthetic aperture radar (SAR) is a kind of coherent imaging system that produces a random pattern, named speckle, which degrades the quality of SAR images and affects their further application seriously. Therefore how to restore SAR image from speckled one has become a necessary step in post-processing of image. In this paper, a new despeckling algorithm is presented based on wavelet transform using Cauchy distribution model. First, a new approach based on ldquosecond kind statisticsrdquo is used to estimate the dispersion parameter of the Cauchy distribution. Then, we apply this Cauchy prior to model the distribution of the wavelet coefficients for the log-transformed reflectance of SAR images and present a new homomorphic wavelet-based maximum a posteriori (MAP) despeckling algorithm in this paper. Finally, the real SAR images are used to verify the proposed algorithm.

Published in:

Radar Conference, 2008. RADAR '08. IEEE

Date of Conference:

26-30 May 2008