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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.
Date of Conference: 20-25 July 2009