High-resolution multispectral satellite image matching using scale invariant feature transform and speeded up robust features

Teke, Mustafa; Vural, M. Firat; Temizel, Alptekin; Yardımcı, Yasemin

doi:doi:10.1117/1.3643693

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Journal of Applied Remote Sensing / Volume 5 / Research Papers

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High-resolution multispectral satellite image matching using scale invariant feature transform and speeded up robust features

J. Appl. Remote Sens. 5, 053553 (Sep 23, 2011); http://dx.doi.org/10.1117/1.3643693

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Abstract

References (16)

Mustafa Teke, Alptekin Temizel, and Yasemin Yardımcı

Middle East Technical University, Graduate School of Informatics, Ankara, 06531 Turkey mustafa.teke@gmail.com, atemizel@ii.metu.edu.tr, yardimy@ii.metu.edu.tr

M. Firat Vural

Eindhoven University of Technology, Software Technology, 5612 Eindhoven, Netherlands

Satellite images captured in different spectral bands might exhibit nonlinear intensity changes at the corresponding spatial locations due to the different reflectance responses for these bands. This affects the image registration performance negatively as the corresponding features might have different properties in different bands. We propose a modification to the widely used scale invariant feature transform (SIFT) method to increase the correct feature matching ratio and to decrease the computation time of this algorithm for the multispectral satellite images. We also apply scale restriction to SIFT and speeded up robust features (SURF) algorithms to increase the correct match ratio. We present test results for variations of SIFT and SURF algorithms. The results show the effectiveness of the proposed improvements compared to the other SIFT- and SURF-based methods.

History

Received Oct 27, 2010
Accepted Sep 07, 2011
Revised May 27, 2011
Published online Sep 23, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3643693

Citation

Mustafa Teke, M. Firat Vural, Alptekin Temizel and Yasemin Yardımcı, "High-resolution multispectral satellite image matching using scale invariant feature transform and speeded up robust features", J. Appl. Remote Sens. 5, 053553 (Sep 23, 2011); http://dx.doi.org/10.1117/1.3643693