Automatic registration of remote sensing images based on SURF and NSNNI

Jian Zhao; Ji-Xiang Sun; Lin Lei; Zhiyong Li

doi:10.1117/12.832553

30 October 2009 Automatic registration of remote sensing images based on SURF and NSNNI

Jian Zhao, Ji-Xiang Sun, Lin Lei, Zhiyong Li

Proceedings Volume 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications; 74980P (2009) https://doi.org/10.1117/12.832553
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Image registration is required in many remote sensing applications such as multispectral classification, environmental monitoring, change detection, etc. In this paper, a novel approach of automatic registration of optical remote sensing images based on SURF (Speed Up Robust Features) and NSNNI (Nearest and Second-Nearest Neighbors Iterative Matching) is proposed. Using SURF's detector and descriptor, we can generate scale and rotation invariant control points. Then, the efficient NSNNI method is used to simultaneously find correct matching point pairs and obtain precise transform model. The results of experiments show that our method can achieve sub-pixel accuracy and satisfy the real-time demand.

Citation Download Citation

Jian Zhao, Ji-Xiang Sun, Lin Lei, and Zhiyong Li "Automatic registration of remote sensing images based on SURF and NSNNI", Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980P (30 October 2009); https://doi.org/10.1117/12.832553

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