Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 7, Issue 3, Pages 491-495Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2009.2039917
Keywords
Image registration; remote sensing; Speeded Up Robust Features (SURF)
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Funding
- 973 Program [2010CB327900]
- National Natural Science Foundation of China [60975044]
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In this letter, we propose a novel remote sensing image registration method by optimizing the Speeded Up Robust Features (SURF) and developing a new similarity measure function based on trajectories generated from Lissajous figures. Compared with SURF which has a low feature-matching rate in some complex cases, the retrofitted SURF algorithm is more robust and accurate. The algorithm greatly improves the correct matching rate to over 80%. Furthermore, the recognition capability of the similarity measure is enhanced by using a trajectory disturbance strategy, which is a significant displacement in the trajectory induced by a minor error of the transformation parameters. Experiments show the promising performance of the proposed image registration method.
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