Share Email Print

Journal of Applied Remote Sensing

High-resolution multispectral satellite image matching using scale invariant feature transform and speeded up robust features
Author(s): Mustafa Teke; M. Firat Vural; Alptekin Temizel; Yasemin Yardimci
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

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.

Paper Details

Date Published: 1 January 2011
PDF: 10 pages
J. Appl. Rem. Sens. 5(1) 053553 doi: 10.1117/1.3643693
Published in: Journal of Applied Remote Sensing Volume 5, Issue 1
Show Author Affiliations
Mustafa Teke, Middle East Technical Univ. (Turkey)
M. Firat Vural, Technische Univ. Eindhoven (Netherlands)
Alptekin Temizel, Middle East Technical Univ. (Turkey)
Yasemin Yardimci, Middle East Technical Univ. (Turkey)

© SPIE. Terms of Use
Back to Top