Remote sensing image registration algorithm based on circle correlation

Changqing Yang; Tianhua Xie

doi:10.1117/12.2195478

5 August 2015 Remote sensing image registration algorithm based on circle correlation

Changqing Yang, Tianhua Xie

Proceedings Volume 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 96221F (2015) https://doi.org/10.1117/12.2195478
Event: International Conference on Optical Instruments and Technology 2015, 2015, Beijing, China

Abstract

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.

Citation Download Citation

Changqing Yang and Tianhua Xie "Remote sensing image registration algorithm based on circle correlation", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96221F (5 August 2015); https://doi.org/10.1117/12.2195478

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