Automatic Image Registration Through Image Segmentation and SIFT
- 17 March 2011
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Geoscience and Remote Sensing
- Vol. 49 (7), 2589-2600
- https://doi.org/10.1109/tgrs.2011.2109389
Abstract
Automatic image registration (AIR) is still a present challenge for the remote sensing community. Although a wide variety of AIR methods have been proposed in the last few years, there are several drawbacks which avoid their common use in practice. The recently proposed scale invariant feature transform (SIFT) approach has already revealed to be a powerful tool for the obtention of tie points in general image processing tasks, but it has a limited performance when directly applied to remote sensing images. In this paper, a new AIR method is proposed, based on the combination of image segmentation and SIFT, complemented by a robust procedure of outlier removal. This combination allows for an accurate obtention of tie points for a pair of remote sensing images, being a powerful scheme for AIR. Both synthetic and real data have been considered in this work for the evaluation of the proposed methodology, comprising medium and high spatial resolution images, and single-band, multispectral, and hyperspectral images. A set of measures which allow for an objective evaluation of the geometric correction process quality has been used. The proposed methodology allows for a fully automatic registration of pairs of remote sensing images, leading to a subpixel accuracy for the whole considered data set. Furthermore, it is able to account for differences in spectral content, rotation, scale, translation, different viewpoint, and change in illumination.Keywords
This publication has 30 references indexed in Scilit:
- Interactive image segmentation by maximal similarity based region mergingPattern Recognition, 2010
- Reduction of the number of spectral bands in Landsat images: a comparison of linear and nonlinear methodsOptical Engineering, 2006
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Color image segmentation: advances and prospectsPattern Recognition, 2001
- Unimodal thresholdingPattern Recognition, 2001
- An improved model for automatic feature-based registration of SAR and SPOT imagesISPRS Journal of Photogrammetry and Remote Sensing, 2001
- A review on image segmentation techniquesPattern Recognition, 1993
- A survey of image registration techniquesACM Computing Surveys, 1992
- Analysis of a complex of statistical variables into principal components.Journal of Educational Psychology, 1933
- The Choice of a Class IntervalJournal of the American Statistical Association, 1926