Robust Registration of Aerial Image Sequences

Authors:
Clark F. Olson;Adnan I. Ansar;Curtis W. Padgett
Affiliations:
Computing and Software Systems, University of Washington, Bothell, Bothell 98011-8246;Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109-8099;Jet Propulsion Laboratory, California Institute of Technology, Pasadena 91109-8099
Venue:
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Year:
2009

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Abstract

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.