Improved evaluation of geo-registration algorithms for airborne EO/IR imagery

Clark N. Taylor

doi:10.1117/12.2018622

23 May 2013 Improved evaluation of geo-registration algorithms for airborne EO/IR imagery

Clark N. Taylor

Proceedings Volume 8747, Geospatial InfoFusion III; 874709 (2013) https://doi.org/10.1117/12.2018622
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

When EO/IR imagery is collected from an aerial platform, geo-registration (estimating the geo-detic coordinates of pixels within an image) is one of the key algorithms used for image and video exploitation. Unfortunately, the performance of geo-registration algorithms is difficult to evaluate due to variabilities in the quality and type of input data. In addition, previous evaluation approaches require large amounts of human intervention, leading to small amounts of quantitative data. We describe a new methodology and associated software used to evaluate and compare geo-registration algorithms in a more automated fashion. This methodology enables several thousand points to be tested as part of an evaluation. Results are presented on a study between several different geo-registration algorithms, demonstrating the utility of this new evaluation approach. Lessons learned on geo-registration performance are discussed.

Citation Download Citation

Clark N. Taylor "Improved evaluation of geo-registration algorithms for airborne EO/IR imagery", Proc. SPIE 8747, Geospatial InfoFusion III, 874709 (23 May 2013); https://doi.org/10.1117/12.2018622

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