Aerial image registration based on joint feature-spatial spaces, curve and template matching

Abstract

Image registration has wide applications in remote sensing, medicine, cartography, and computer vision. This paper describes a method for aerial image registration, which is based on joint feature-spatial spaces, curve matching, and template matching. The entire algorithm consists of (i) segmentation and region representation, (ii) region matching based on joint feature-spatial space, (iii) transformation model estimation based on curve matching and template matching, and (iv) image transformation. Experiment results show the effectiveness of this algorithm.

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Cite this paper

@article{Shao2008AerialIR, title={Aerial image registration based on joint feature-spatial spaces, curve and template matching}, author={Guifeng Shao and Fenghui Yao and M. J. Malkani}, journal={2008 International Conference on Information and Automation}, year={2008}, pages={863-868} }