A new automatic method capable of registering multimodal images like terrain maps and multispectral data is presented. In order to speed up the processing, given the large amount of data typical of such settings, the method exploits a multi-resolution approach, which may select different similarity measures in consideration of image resolution and size. In fact, the performances of Cross Correlation and Maximization of Mutual Information (MMI) on images of different resolution and size have been evaluated and are described The adaptive strategy adopted is designed to exploit the strengths and to overcome the limitations of the similarity criteria employed. In case multimodal views are to be registered on 3D models, MMI is to be preferred. The strategies to improve its performance also on smaller images are presented.

Date Published: 8 November 2012
PDF: 13 pages
Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85370P (8 November 2012); doi: 10.1117/12.977629

Published in SPIE Proceedings Vol. 8537:
Image and Signal Processing for Remote Sensing XVIII
Lorenzo Bruzzone, Editor(s)