Remote sensing image restoration with modulation transfer function compensation technology in-orbit

Xin Mu; Shuyan Xu; Guangxin Li; Jun Hu

doi:10.1117/12.2010775

14 March 2013 Remote sensing image restoration with modulation transfer function compensation technology in-orbit

Xin Mu, Shuyan Xu, Guangxin Li, Jun Hu

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681K (2013) https://doi.org/10.1117/12.2010775
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

Abstract

In order to improve the characteristic of light-duty of space optical remote sensors and the quality of remote sensing images. A novel means was designed. It is used for remote sensing image restoration in-orbit that based on the modulation transfer function compensation (MTFC). The principle of the modulation transfer function compensation in-orbit was given, and the control system in-orbit of the modulation transfer function compensation was designed. The modulation transfer function curve was obtained by direct measurement in laboratory. The remote sensing image restoration was realized by constrained least square filter. The indexes including mean, standard deviation, edge intensity and others are used to evaluate the quality of remote sensing image restoration. The results show that the evaluation indicators of the restored image are better than the original image, and the MTF at Nyquist frequency is increased to 0.1635 from 0.1501. It totally satisfies the requirement for real-time remote sensing image restoration in-orbit, and significantly improves the image quality.

Citation Download Citation

Xin Mu, Shuyan Xu, Guangxin Li, and Jun Hu "Remote sensing image restoration with modulation transfer function compensation technology in-orbit", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681K (14 March 2013); https://doi.org/10.1117/12.2010775

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available