By Topic

Automatic Registration of Satellite Images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Serief, C. ; Centre of Space Tech. CTS, Arzew, Algeria ; Bentoutou, Y. ; Barkat, M.

In remote sensing applications, the traditional procedure for registering a pair of images requires the manual selection of ground control points at significant landmarks of the images. The primary drawback of this approach is that a trained expert is needed to manually select each individual ground control point in the remotely sensed images. This is very laborious and time consuming. In this paper, a new feature-based approach to automate image-to-image registration is proposed for remote sensing applications. This new approach exploits the nonsubsampled contourlet transform to automatically extract a set of control points across spatial and directional resolutions where misalignment between images can be expected to appear. Preliminary experimental results demonstrate the effectiveness and accuracy of the proposed algorithm.

Published in:

Advances in Satellite and Space Communications, 2009. SPACOMM 2009. First International Conference on

Date of Conference:

20-25 July 2009