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Proceedings Paper

Automatic registration of remote sensing images based on SURF and NSNNI
Author(s): Jian Zhao; Ji-Xiang Sun; Lin Lei; Zhiyong Li
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7498, MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications, 74980P (30 October 2009); doi: 10.1117/12.832553
Show Author Affiliations
Jian Zhao, National Univ. of Defense Technology (China)
Ji-Xiang Sun, National Univ. of Defense Technology (China)
Lin Lei, National Univ. of Defense Technology (China)
Zhiyong Li, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7498:
MIPPR 2009: Remote Sensing and GIS Data Processing and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

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