Ensemble registration: aligning many multi-sensor images simultaneously

Jeff Orchard; Laure Jonchery

doi:10.1117/12.806089

10 February 2009 Ensemble registration: aligning many multi-sensor images simultaneously

Jeff Orchard, Laure Jonchery

Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72450O (2009) https://doi.org/10.1117/12.806089
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

To register three or more images together, current approaches involve registering them two at a time. This pairwise approach can lead to registration inconsistencies. It can also result in diminished accuracy because only a fraction of the total data is being used at any given time. We propose a registration method that simultaneously registers the entire ensemble of images. This ensemble registration of multi-sensor datasets is done using clustering in the joint intensity space. Experiments demonstrate that the ensemble registration method overcomes serious issues that hinder pairwise multi-sensor registration methods.

Citation Download Citation

Jeff Orchard and Laure Jonchery "Ensemble registration: aligning many multi-sensor images simultaneously", Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72450O (10 February 2009); https://doi.org/10.1117/12.806089

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