Abstract
In this article, the SIFT method is employed to combine a lot of images together from aerial unmanned airplane, without any control points. And the image number of this method is smaller than that of the triangulation. SIFT feature, which has shown great success in computer vision, is introduced into image registration in remote sensing. We extract distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, they are well localized in both the spatial and frequency domains, reducing the probability of disruption by occlusion, clutter, or noise.
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