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Robust Registration of Aerial Image Sequences
Clark F. Olson, Adnan I. Ansar, and Curtis W. Padgett In Advances in Visual Computing, Lecture Notes in Computer Science, Vol. 5876 (Fifth International Symposium on Visual Computing), Part II, pages 325-334, November 2009. Download (254 K) We describe techniques for registering images from sequences of aerial images captured of the same terrain on different days. The techniques are robust to changes in weather, including variable lighting conditions, shadows, and sparse intervening clouds. The primary underlying technique is robust feature matching between images, which is performed using both robust template matching and SIFT-like feature matching. Outlier rejection is performed in multiple stages to remove incorrect matches. With the remaining matches, we can compute homographies between images or use non-linear optimization to update the external camera parameters. We give results on real aerial image sequences. |
