Wavelet-based fusion approach using unique reconstruction approach

M. Ouendeno; S. P. Kozaitis

doi:10.1117/12.718652

9 April 2007 Wavelet-based fusion approach using unique reconstruction approach

M. Ouendeno, S. P. Kozaitis

Proceedings Volume 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V; 65760G (2007) https://doi.org/10.1117/12.718652
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

We used measures based on entropy to evaluate a method designed to fuse imagery from different sensor types. The method uses different forward transforms of input images and a common transform to reconstruct the final result. We attempted to examine the link between the error in a reconstructed result and its associated entropy.

Citation Download Citation

M. Ouendeno and S. P. Kozaitis "Wavelet-based fusion approach using unique reconstruction approach", Proc. SPIE 6576, Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors, and Neural Networks V, 65760G (9 April 2007); https://doi.org/10.1117/12.718652

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