Remote Sensing Image Registration Algorithm based on Circle Correlation

To estimation the scaling parameter higher than 1.3, a robust remote sensing image registration algorithm is proposed. It decomposes the corner feature windows into a new circle feature curve sequences. According to scaling invariance, the corresponding points are obtained through with calculating the correlation of curves. In the end, it uses line least-squares estimating the parameters. The experiments show that, the corresponding point pair's error is less than 5%, and the multi-parameter error is less than 0.5 pixel, 0.1degree, and 0.1% scales. Especially, in the condition that scaling is more than 1.3, this algorithm has good performance.