Multispectral imagery registration based on minor and noise component criterion

Jin-hui Cui; Xin-lu Zhang; Li Li

doi:10.1117/12.835694

5 August 2009 Multispectral imagery registration based on minor and noise component criterion

Jin-hui Cui, Xin-lu Zhang, Li Li

Author Affiliations +

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 738340 (2009) https://doi.org/10.1117/12.835694
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

For multispectral imagery, spatial registration between bands is a very important part of the overall quality of the multispectral imagery product. Due to the significant differences in scene reflectance at different wavelengths, mostly multispectral imagery registration methods are unreliable. In this paper, a robust multispectral imagery registration method is presented. As we know, the spectral information (endmembers) of some pixels will been confused when multispectral imagery is mis-registered. The change of confused endmembers can be estimated through observing minor eigenvalues. Based on this property, a minor and noise component criterion is defined. The best alignment is reached when their minor and noise component is at its minimum. Experiments were conducted using multispectral imagery from the ETM Satellite. And corresponding registration performance curve is given. Multispectral imagery is pre-registered with the method of normalized mutual information. Computer simulations show that the normalized mutual information method may have a deviation about 10 pixels between a pair of images. The method we presented can have a deviation less than 1/4 pixel. Registering curve show that this method is efficient and robust, it can be used for precise multispectral imagery registration.

Citation Download Citation

Jin-hui Cui, Jin-hui Cui, Xin-lu Zhang, Xin-lu Zhang, Li Li, Li Li, } "Multispectral imagery registration based on minor and noise component criterion", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738340 (5 August 2009); doi: 10.1117/12.835694; https://doi.org/10.1117/12.835694

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years