Title :
Remote Sensing Image Registration Based on Retrofitted SURF Algorithm and Trajectories Generated From Lissajous Figures
Author :
Song, Zhi Li ; Zhang, Junping
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
fDate :
7/1/2010 12:00:00 AM
Abstract :
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.
Keywords :
image registration; remote sensing; Lissajous figures; feature-matching; remote sensing image registration; retrofitted SURF algorithm; speeded up robust features; trajectories; transformation parameters; Image registration; Speeded Up Robust Features (SURF); remote sensing;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2039917