This paper proposes a feature-based image
registering technique for remote sensing satellite images. The
system is composed of multiple steps in which various image
processing techniques are used. Speed-up Robust Features
(SURF) and Scale Invariant Feature Transform (SIFT) can be
mounted alternatively to detect and define features on images.
We also address the issues of registering multi-spectral and
multi-temporal images. The effectiveness of the proposed
technique has been studied by registering partially overlapping
satellite mosaic images of the Marmara Sea. The images were
captured by the recently-launched LandSat-8 satellite.
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