Research Papers

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

[+] Author Affiliations
Mustafa Teke, Alptekin Temizel, Yasemin Yardımcı

Middle East Technical University, Graduate School of Informatics, Ankara, 06531 Turkeymustafa.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

J. Appl. Remote Sens. 5(1), 053553 (September 23, 2011). doi:10.1117/1.3643693
History: Received October 27, 2010; Revised May 27, 2011; Accepted September 07, 2011; Published September 23, 2011; Online September 23, 2011
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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.

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© 2011 Society of Photo-Optical Instrumentation Engineers (SPIE)

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(1), 053553 (September 23, 2011). ; http://dx.doi.org/10.1117/1.3643693


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