By Topic

Restoration of CBERS-02B Remote Sensing Image Based on Knife-edge PSF Estimation and Regularization Reconstruction Model

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
$33 $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

6 Author(s)
Wang Qiaojue ; Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China ; Xu Yuanjing ; Yuan Qiangqiang ; Wang Rongbin
more authors

This paper presents a image restoration method based on knife-edge PSF (Point Spread Function) estimation and Edge-preserving Regularization Model for the China-Brazil Earth Resource Satellite-2 (CBERS-2) image. Based on typical image area, the knife-edge method is used to obtain edge spread function and point spread function. The Huber-Markov prior model is employed to establish the regularization model, and the steepest descent method is used to solve the restored image. Experimental results show that this method is superior to the traditional recovery methods when applied to CBERS-2 images, both form vision and quantitative aspects.

Published in:

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on  (Volume:2 )

Date of Conference:

28-29 March 2011