Dense registration of CHRIS-Proba and Ikonos images using multi-dimensional mutual information maximization

Claude Cariou; Kacem Chehdi

doi:10.1117/12.2028998

17 October 2013 Dense registration of CHRIS-Proba and Ikonos images using multi-dimensional mutual information maximization

Claude Cariou, Kacem Chehdi

Author Affiliations +

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 88920C (2013) https://doi.org/10.1117/12.2028998
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

We investigate the potential of multidimensional mutual information for the registration of multi-spectral remote sensing images. We devise a gradient flow algorithm which iteratively maximizes the multidimensional mutual information with respect to a differentiable displacement map, accounting for partial derivatives of the multivariate joint distribution and the multivariate marginal of the float image with respect to each variable of the mutual information derivative. The resulting terms are shown to weight the band specific gradients of the warp image, and we propose in addition to compute them with a method based on the k-nearest neighbours. We apply our method to the registration of Ikonos and CHRIS-Proba images over the region of Baabdat, Lebanon, for purposes of cedar pines detection. A comparison between (crossed) single band and multi-band registration results obtained shows that using the multidimensional mutual information brings a significant gain in positional accuracy and is suitable for multispectral remote sensing image registration.

Citation Download Citation

Claude Cariou and Kacem Chehdi "Dense registration of CHRIS-Proba and Ikonos images using multi-dimensional mutual information maximization", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88920C (17 October 2013); https://doi.org/10.1117/12.2028998

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