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

Date

2011-09-23

Author

TEKE, Mustafa
Vural, M. Firat
Temizel, Alptekin
Yardimci, Yasemin

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3643693]

Subject Keywords

Image Registration, Image Matching, Satellite Image Processing, SIFT, SURF

URI

https://hdl.handle.net/11511/32518

Journal

JOURNAL OF APPLIED REMOTE SENSING

DOI

https://doi.org/10.1117/1.3643693

Collections

Graduate School of Informatics, Article

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Citation Formats

M. TEKE, M. F. Vural, A. Temizel, and Y. Yardimci, “High-resolution multispectral satellite image matching using scale invariant feature transform and speeded up robust features,” JOURNAL OF APPLIED REMOTE SENSING, pp. 0–0, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32518.